Corrected RSI w/ Floating Levels [Loxx]Corrected RSI w/ Floating Levels is an RSI indicator with floating levels that attempts to determine the periods of flat and trending periods
Regular RSI value is also displayed (in order to help to determine a trend) but the main value is the "corrected" value. Usage is simple: possible trend change on a color change. For "trend traders" possible usage of longer periods is advised.
Coloration
Regular RSI is shown in yellow
Green/Red/Gray line is corrected RSI
Gray boundary lines are floating level
White dashed line is middle floating level
Included
Bar coloring
3 types of signal output options
Alerts
Loxx's Expanded Source Types
Loxx's RSI Variety RSI types
Wilder
RSI Precision Trend Candles [Loxx]RSI Precision Trend Candles is a candle coloring indicator that uses an average range algorithm to determine trend direction. The precision trend algorithm can be used on any calculated output to tease out interesting trend information.
What is RSI?
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security.
The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The indicator was developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, New Concepts in Technical Trading Systems.
Included
Bar coloring
Signals
Alerts
Loxx's Expanded Source Types
VHF Adaptive ADXm [Loxx]VHF Adaptive ADXm is a variation of the ADX DI indicator with adaptive filtering using a vertical horizontal filter.
What is ADXm?
Unlike the traditional ADX indicator, where the ADX itself is plotted in absolute units and detection of the trend direction is hindered, this indicator clearly displays the positive and negative ADX half-waves (displayed as colored on the chart). And the DI+/- signals are displayed as their difference (gray).
The method of using this indicator is the same as the traditional one.
In addition, it displays the levels (dashed), above which the market is considered to be in a trend state. This level is usually set to approximately 20-25 percents--somewhat depends on the time frame it is used on.
What is VHF Adaptive Cycle?
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Included:
Bar coloring
Alerts
Signal types: zero-line crosses, level crosses, or signal crosses
Volatility Pivot Support and Resistance [Loxx]Volatility Pivot Support and Resistance calculates "pivots" (support/resistance lines) based on current symbol/timeframe Average True Range calculated volatility.
What is Average True Range?
The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period.
The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges.
Included:
-Bar coloring
BenMACD Wilders LTF (Learning to Fish) PTBH (Paid By The Hour)Howdy folks!
The study/script is based on Wilders MACD , and has its roots in "Learning to Fish", and "Paid by The Hour" , made popular by Daniel on Twitter. This takes Daniel's work a step further.
As stated, this MACD Wilders based study . By using this script in TradingView you can take guesswork out of the "curls" and "I think it's curling up? Let me check the blue line and subtract..." Forget all that. This study alerts you with big red arrows and big green arrows, and a banner and a message. And it makes sounds. Alert for bullish and a different sound for bearish.
This study is timeframe and instrument agnostic. Use it to daytrade, swing trade, or trade pairs. I've personally found a lot of success using this, trading pairs (SQQQ/TQQQ or TNZ/TZA, for example) on the 5m and 15m intervals. It's also been very accurate on PBTH using stocks like SQ or BX.
With arrows showing the MACD curl, it makes trading a lot easier.
Also included are 4 built in alert conditions:
upsignal - A bullish alert for 1 bar on the MACD.
upsignalconfirm - A bullish alert on 2 consecutive bars on the MACD. Confirmation alert.
downsignal - A bearish alert for 1 bar on the MACD.
downsignalconfirm - A bearish alert on 2 consecutive bars on the MACD. Confirmation alert.
I can help setup alerts for you if need be, or if you're fluent in TradingView, you're welcome to do that yourself. The premise here, is that the upsignal is a bullish indicator (and is indicated with a green up arrow on the BenMACD chart) and the downsignal is a bearish indicator (and is indicated with a red down arrow on the BenMACD chart).
The upsignalconfirm and downsignal confirm and alerts built into the code. The alerts themselves will have to be created, but they're already here for easy reference and installation.
DMI Stochastic Extreme Refurbished█ CONCEPTS
DMI Stochastic Extreme was originally published by Barbara Star, PhD, in TASC magazine of January 2013.
Basically it describes an improved version of the ADX DI+/DI- indicator, created by J. Welles Wilder.
In the setup described by the author, the DMI Oscillator is used together with a stochastic oscillator of DMI.
First, the DMI Oscillator is obtained by subtracting the minus directional movement indicator value (DI-) from the plus directional movement value (DI+).
The final result is the "DMI Stochastic Extreme" indicator, in which the stochastic oscillator is calculated. Only instead of using the price value, the stochastic is obtained through the DMI value.
█ Goals
The final indicator described by Barbara is the Stochastic Oscillator of DMI.
However, to use the DMI oscillator together (as described in the magazine), it is necessary to plot it in a separate indicator, which consumes screen space.
That's why the idea of joining both the DMI oscillator and the DMI Stochastic Oscillator into one thing came up, optimizing the visualization.
Taking advantage of the fact that my hands are already dirty :), I created some fine adjustments.
█ HOW TO USE IT
Here are some examples:
1. With default params:
2. With custom DI Length of 21 (Histogram), DI Length of 13 (for Stoch Oscilator), Stoch Length of 5, and another theme.
3. Another params with less noise:
█ THANKS AND CREDITS
- Barbara Star (original creator)
- ucsgears (arrow logic)
RSI/RSX QQE Histogram w/ Discontinued Signal Line [Loxx]QQE Histogram w/ Discontinued Signal Line is a run-of-the-mill Qualitative Quantitative Estimation (QQE) calculation but with a signal line to better filter and identify trends. The thicker white line is the QSL and appears as a simple EMA. The two thin white lines are the fast and slow trends. The histogram changes color based on the DSL levels. This version of QQE also includes two different versions of RSI: Wilders and Jurik's RSX.
What is Qualitative Quantitative Estimation (QQE)?
The Qualitative Quantitative Estimation (QQE) indicator works like a smoother version of the popular Relative Strength Index ( RSI ) indicator. QQE expands on RSI by adding two volatility based trailing stop lines. These trailing stop lines are composed of a fast and a slow moving Average True Range (ATR).
What is Wilders' RSI?
The Relative Strength Index (RSI) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI , when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
What is RSX?
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
There are many indicators for many purposes. Some of them are complex and some are comparatively easy to handle. The QQE indicator is a really useful analytical tool and one of the most accurate indicators. It offers numerous strategies for using the buy and sell signals. Essentially, it can help detect trend reversal and enter the trade at the most optimal positions.
Included:
-Toggle on/off bar coloring
ATR Adaptive EMA [Loxx]ATR adaptive EMA is an exponential moving average with dynamic ATR-adjusted length inputs.
What is Average True Range (ATR)?
The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period.1
The true range is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges.
Jurik CFB Adaptive QQE [Loxx]Jurik CFB Adaptive QQE is a Double Jurik-Filtered, Composite Fractal Behavior (CFB) adaptive, Qualitative Quantitative Estimation indicator. This indicator includes both fixed and the CFB adaptive calculations as well as three different types of RSI calculations including Jurik's RSX.
What is Qualitative Quantitative Estimation (QQE)?
The Qualitative Quantitative Estimation (QQE) indicator works like a smoother version of the popular Relative Strength Index ( RSI ) indicator. QQE expands on RSI by adding two volatility based trailing stop lines. These trailing stop lines are composed of a fast and a slow moving Average True Range (ATR).
There are many indicators for many purposes. Some of them are complex and some are comparatively easy to handle. The QQE indicator is a really useful analytical tool and one of the most accurate indicators. It offers numerous strategies for using the buy and sell signals. Essentially, it can help detect trend reversal and enter the trade at the most optimal positions.
What is Wilders' RSI?
The Relative Strength Index ( RSI ) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI , when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
What is RSX RSI?
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
What is Rapid RSI?
Rapid RSI Indicator, from Ian Copsey's article in the October 2006 issue of Stocks & Commodities magazine.
RapidRSI resembles Wilder's RSI , but uses a SMA instead of a WilderMA for internal smoothing of price change accumulators.
What is Composite Fractal Behavior (CFB)?
All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets.
Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration.
Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action.
The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit!
This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic.
CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate
Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
Included
-Toggle bar color on/off
Waddah Attar RSI Levels [Loxx]Waddah Attar RSI levels is an indicator created Ahmad Waddah Attar that draws a daily RSI over onto the current lower timeframe chart.
Wilders' RSI:
The Relative Strength Index ( RSI ) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI , when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
Rapid RSI:
Rapid RSI Indicator, from Ian Copsey's article in the October 2006 issue of Stocks & Commodities magazine. RapidRSI resembles Wilder's RSI , but uses a SMA instead of a WilderMA for internal smoothing of price change accumulators.
Details
-Used for intraday trading, restricted to timeframes 1 hour and below
-Best Time Frames 15, 30, 60 minutes
Adaptive Qualitative Quantitative Estimation (QQE) [Loxx]Adaptive QQE is a fixed and cycle adaptive version of the popular Qualitative Quantitative Estimation (QQE) used by forex traders. This indicator includes varoius types of RSI caculations and adaptive cycle measurements to find tune your signal.
Qualitative Quantitative Estimation (QQE):
The Qualitative Quantitative Estimation (QQE) indicator works like a smoother version of the popular Relative Strength Index (RSI) indicator. QQE expands on RSI by adding two volatility based trailing stop lines. These trailing stop lines are composed of a fast and a slow moving Average True Range (ATR).
There are many indicators for many purposes. Some of them are complex and some are comparatively easy to handle. The QQE indicator is a really useful analytical tool and one of the most accurate indicators. It offers numerous strategies for using the buy and sell signals. Essentially, it can help detect trend reversal and enter the trade at the most optimal positions.
Wilders' RSI:
The Relative Strength Index ( RSI ) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI , when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
RSX RSI:
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
Rapid RSI:
Rapid RSI Indicator, from Ian Copsey's article in the October 2006 issue of Stocks & Commodities magazine.
RapidRSI resembles Wilder's RSI , but uses a SMA instead of a WilderMA for internal smoothing of price change accumulators.
VHF Adaptive Cycle:
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Band-pass Adaptive Cycle:
Even the most casual chart reader will be able to spot times when the market is cycling and other times when longer-term trends are in play. Cycling markets are ideal for swing trading however attempting to “trade the swing” in a trending market can be a recipe for disaster. Similarly, applying trend trading techniques during a cycling market can equally wreak havoc in your account. Cycle or trend modes can readily be identified in hindsight. But it would be useful to have an objective scientific approach to guide you as to the current market mode.
There are a number of tools already available to differentiate between cycle and trend modes. For example, measuring the trend slope over the cycle period to the amplitude of the cyclic swing is one possibility.
We begin by thinking of cycle mode in terms of frequency or its inverse, periodicity. Since the markets are fractal ; daily, weekly, and intraday charts are pretty much indistinguishable when time scales are removed. Thus it is useful to think of the cycle period in terms of its bar count. For example, a 20 bar cycle using daily data corresponds to a cycle period of approximately one month.
When viewed as a waveform, slow-varying price trends constitute the waveform's low frequency components and day-to-day fluctuations (noise) constitute the high frequency components. The objective in cycle mode is to filter out the unwanted components--both low frequency trends and the high frequency noise--and retain only the range of frequencies over the desired swing period. A filter for doing this is called a bandpass filter and the range of frequencies passed is the filter's bandwidth.
Included:
-Toggle on/off bar coloring
-Customize RSI signal using fixed, VHF Adaptive, and Band-pass Adaptive calculations
-Choose from three different RSI types
Visuals:
-Red/Green line is the moving average of RSI
-Thin white line is the fast trend
-Dotted yellow line is the slow trend
Happy trading!
Aroon Oscillator of Adaptive RSI [Loxx]Aroon Oscillator of Adaptive RSI uses RSI to calculate AROON in attempt to capture more trend and momentum quicker than Aroon or RSI alone. Aroon Oscillator of Adaptive RSI has three different types of RSI calculations and the choice of either fixed, VHF Adaptive, or Band-pass Adaptive cycle measures to calculate RSI.
Arron Oscillator:
The Aroon Oscillator was developed by Tushar Chande in 1995 as part of the Aroon Indicator system. Chande’s intention for the system was to highlight short-term trend changes. The name Aroon is derived from the Sanskrit language and roughly translates to “dawn’s early light.”
The Aroon Oscillator is a trend-following indicator that uses aspects of the Aroon Indicator (Aroon Up and Aroon Down) to gauge the strength of a current trend and the likelihood that it will continue.
Aroon oscillator readings above zero indicate that an uptrend is present, while readings below zero indicate that a downtrend is present. Traders watch for zero line crossovers to signal potential trend changes. They also watch for big moves, above 50 or below -50 to signal strong price moves.
Wilders' RSI:
The Relative Strength Index (RSI) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI, when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
RSX RSI:
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI, but with one important exception: the noise is gone with no added lag.
Rapid RSI:
Rapid RSI Indicator, from Ian Copsey's article in the October 2006 issue of Stocks & Commodities magazine.
RapidRSI resembles Wilder's RSI, but uses a SMA instead of a WilderMA for internal smoothing of price change accumulators.
VHF Adaptive Cycle:
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Band-pass Adaptive Cycle
Even the most casual chart reader will be able to spot times when the market is cycling and other times when longer-term trends are in play. Cycling markets are ideal for swing trading however attempting to “trade the swing” in a trending market can be a recipe for disaster. Similarly, applying trend trading techniques during a cycling market can equally wreak havoc in your account. Cycle or trend modes can readily be identified in hindsight. But it would be useful to have an objective scientific approach to guide you as to the current market mode.
There are a number of tools already available to differentiate between cycle and trend modes. For example, measuring the trend slope over the cycle period to the amplitude of the cyclic swing is one possibility.
We begin by thinking of cycle mode in terms of frequency or its inverse, periodicity. Since the markets are fractal ; daily, weekly, and intraday charts are pretty much indistinguishable when time scales are removed. Thus it is useful to think of the cycle period in terms of its bar count. For example, a 20 bar cycle using daily data corresponds to a cycle period of approximately one month.
When viewed as a waveform, slow-varying price trends constitute the waveform's low frequency components and day-to-day fluctuations (noise) constitute the high frequency components. The objective in cycle mode is to filter out the unwanted components--both low frequency trends and the high frequency noise--and retain only the range of frequencies over the desired swing period. A filter for doing this is called a bandpass filter and the range of frequencies passed is the filter's bandwidth.
Included:
-Toggle on/off bar coloring
-Customize RSI signal using fixed, VHF Adaptive, and Band-pass Adaptive calculations
-Choose from three different RSI types
Happy trading!
[UPRIGHT Trading] Super Sar & (New) Sar Moving Averages (cc)Hello Traders,
(This is an original creation and a proof of concept.)
As most of you know the PSAR, parabolic SAR indicator, was developed by J. Welles Wilder Jr. and used to determine trend direction and potential reversals in price. This technical indicator uses a trailing stop and reverse method, 'SAR,' or "stop and reverse," to find potential exit and entry points.
My question was: Is it possible to create meaningful Moving Averages by using PSAR?
Turns out, the answer is yes.
As you can see on the above chart, not only is it possible, it does work.
Features:
I've created buy/sell signals, which act as early indication of a potential reversal.
5 original MAs.
My Super Sar
Customizability: For now, the ability to adjust the length and turn on/off the MAs (maybe more features to come).
Enjoy!
As always, please: Like, Follow, Support, etc...
Cheers,
Mike
(UPRIGHT Trading)
Volatility Cloud (SAR)Inspired by the Volatility Index from Wilder
Apply the SAR point to highs, lows ans medians and create a cloud of volatility
[UPRIGHT] Awesome DMI+Hello Traders,
Today I'm releasing a spin on an 'oldie but goodie'; the Directional Movement Index (DMI).
DMI is a combination of 3 different indicators developed by the famous J. Welles Wilder. DMI has 3 different plots: the ADX, +DI, and -DI. The first is the ADX (Average Directional Index), which Wilder created in 1978 to show the strength of a trend by comparing the current price with the previous price range. The other two are the +DI (positive directional indicator) and the -DI show up as two separate lines, +DI is the difference between the highest price of the current day and the highest price of the day before, and -DI does the same calculation with the current and previous day's lows.
How does it work?
When the ADX line is above 25 (as a general rule, some traders use a different threshold, +/- 5), the trend is strong. When the +DI line is above the -DI line, the asset (stock) is moving in an uptrend, and the opposite means the asset is in a downtrend.
How is this different?
Uses multiple calculations to produce signals for an indicator than normally doesn't have any.
Multiple ADX's, +DI's, and -DI's for better accuracy and clearer direction changes.
Ability to use 2 different background highlight signals and several buy/sell signals.
Fully customizable (as always), ability to turn on or off any signals, change any of the colors to suit your needs.
Added pre-filled Alerts.
The ribbons created by the fill make it easier to see the change in direction of each plot.
The chart should look like:
Cheers,
Mike
(UPRIGHT TRADING)
McNamara Tally [CC]The McNamara's Tally was created by Nolan McNamara (Stocks and Commodities Feb 2022 pgs 44-45) and this aims to fix the issues with both the On Balance Volume and the Accumulation/Distribution Line by using a variation of Wilder's True Range to keep track of volume flow to better differentiate between bullish volume and bearish volume. I added a signal line to this indicator to provide clear buy and sell signals since the original didn't' have any so feel free to experiment and see if you come up with a better signal system. Buy when the indicator line turns green and sell when it turns red. I have included strong buy and sell signals in addition to normal ones so stronger signals are darker in color and normal signals are lighter in color.
Let me know if there are any other indicators or scripts you would like to see me publish!
TASC 2022.01 Improved RSI w/Hann█ OVERVIEW
TASC's January 2022 edition Traders' Tips includes the "(Yet Another Improved) RSI Enhanced With Hann Windowing" article authored by John Ehlers. Once again John Ehlers revolutionizes the RSI indicator. This is TradingView's Pine Script code for the indicator.
█ CONCEPTS
By employing a Hann windowed finite impulse response filter ( FIR ), John Ehlers has enhanced the "Relative Strength Indicator" ( RSI ) to provide an improved oscillator with exceptional smoothness.
█ NOTES
Calculations
The method of calculations using "closes up" and "closes down" from Welles Wilder's RSI described in his 1978 book is still inherent to Ehlers enhanced formula. However, a finite impulse response (FIR) Hann windowing technique is employed following the closes up/down calculations instead of the original Wilder infinite impulse response averaging filter. The resulting oscillator waveform is confined between +/-1.0 with a 0.0 centerline regardless of chart interval, as opposed to Wilder's original formulation, which was confined between 0 and 100 with a centerline of 50. On any given trading timeframe, the value of Ehlers' enhanced RSI found above the centerline typically represents an overvalued region, while undervalued regions are typically found below the centerline.
Background
The original RSI indicator was designed by J. Welles Wilder and presented in his "New Concepts in Technical Trading Systems" book published in 1978.
Join TradingView!
Ehlers Directional Movement Hann Window Indicator [CC]The Directional Movement Hann Window Indicator was created by John Ehlers (Stocks and Commodities Dec 2021 pgs 17-18) and this is his updated version of the classic Directional Movement indicator created by J. Welles Wilder. Ehlers uses the Hann Window Filtering after using an exponential moving average to smooth the classic directional movement indicator. This helps significantly with the lag and lack of smoothing which are both issues with the classic indicator. I have included strong buy and sell signals in addition to the normal ones so strong signals are darker in color and normal signals are lighter in color. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
Customisable Moving Averages x5This is a Moving Averages pack with 5 lines.
This indicator is different from others because with it you can select the MA type used in calculations for each line.
Available MA types are (currently):
SMA
EMA
WMA
VWMA
RMA
HMA
Also configurable (for each line) are data source (open, close, hlc3, etc) and period.
Wilder's Volatility Trailing Stop Strategy with various MA'sFor Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed.
This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets. This strategy is based on Wilder's Volatility System. It is an ATR trailing stop that is used for long term trends. This strategy focuses on the trailing stop alone and goes long and short only when it goes above or below the trailing line. It is similar to Donchian channels except it does not include the certain period channel breakout, only the trailing signal. This is only the trailing stop and an attempt to show how well it works standalone as Wilder described.
In his book, Wilder recommends a multiplier of 2.8-3.1 and an ATR lookback of 7 periods along with a running moving average or otherwise known as Wilder's moving average. The calculation and programming part for the trailing stop varies everywhere. I opted to keep it as simple and accurate as I could think of and interpret from the book. The variations to these types of indicators are numerous unfortunately, but Wilder seems to be the original author of ATR and this ATR-based trailing stop. In his book he says to use the significant closing price or highest/lowest closing price for the calculation part but I also included the option of choosing the highest high and lowest low, and the option to choose various moving averages in case anyone wants to experiment.
Comparing this and Donchian channels, it seems that a 2.5 multiplier is somewhat similar to the middle band of DCs and a 3.0 multiplier is somewhat similar to a double length middle band of DCs. It's hard to say which is the better trailing stop for a long term strategy. It's hard to beat the simplicity of DCs but maybe some might find a need for more inputs in a trailing stop or maybe an ATR based one like Wilder's can work better depending on what setting or strategy it's used in.
Support and Resistance-Heiken Ashi-Swing Index System-alertsThis is a breakout system that has pivot swing lines and a trailing stop built in. Many people try to use different ways to find out what a swing point is such as, zig zags, lookbacks, fractals, hand-drawn chart lines, or other subjective indicators. This looks at the heiken ashi price to objectively find the swing pivots. Many would agree that the color changes in the heiken ashi bars are signs of price reversals. This indicator tells where the significant swing points will be based on this concept. A lookback for a specific number of bars is then done to make sure the lowest low or the highest high is the actual swing point by looking at all possible combinations where it could be after finding the color change in the heiken ashi bar. After the swing points are found, the pivot lines can act as support and resistance levels, as trailing stops, as a confirmation of a breakout, or any other use that S/R lines might have. The colored zone filling is included along with the pivot top and bottom lines to show that the price has broken above/below the pivot lines and has remained above/below them. This trailing stop can be used as a final indication of an exit for trend following, breakout system, or any other system that it might benefit from by sometimes reacting before other trailing stop to give off a more reliable exit signal. It works similarly to other trailing stops such as ATR based ones and Supertrend, but instead of being used for an exit or stop, it is meant more for an entry or confirmation signal. A breakout of a price pattern or S/R levels can be confirmed when the colored red/green zone changes color. Other trailing stops or exit strategies can be combined to give off a better exit.
I made this indicator so that instead of using a trailing stop line to show the direction of the breakout or trend, a colored zone is used so that it doesn't get in the way of the upper and lower lines. It can be turned off in the settings if only the support and resistance lines are needed. Other than that, this indicator doesn't need any inputs whatsoever to find out where the swing pivots points might and are found objectively using heiken ashi. I also included several alerts to signal whenever the trend direction color zone changes, when the price breaks support or resistance, or when it breaks the previous support and resistance levels.
Welles Wilder MA [MX]The average of 34 periods I observe as a mobile S/R, but I usually observe it more when it is in strong trend, and the average of 72 and 89 as trend dictators, if the asset is above them = Bullish , below = Bearish , and the 144 average as the last moving S/R, and also as an S/R even stronger than all other MAs and when the asset loses that average, I see it as final confirmation of the other previous averages.
I give more importance to the average of 89 periods than to 72, because I see it as an extension to the average of 72, as if it were a trend range.
for those who prefer to observe the crossing of short and long averages as a way to see the trend, I also left this option, although I do not use
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A média de 34 periodos eu observo como um S/R móvel, mas eu costumo observar ela mais quando está em forte tendência, estando bem bearish ou jeffish, e a média de 72 e 89 como ditadoras de tendência, se o ativo está acima delas = Bullish , abaixo = Bearish , e a média de 144 como o último S/R móvel, e também como um S/R ainda mais forte que todas as outras MA's e quando o ativo perde essa média, eu vejo como confirmação final das outras médias anteriores.
Eu dou mais importância a média de 89 períodos do que a de 72, porque eu vejo ela como uma extensão a média de 72, como se fosse um range de tendência.
para quem prefere observar o cruzamento das médias curtas com as longas como forma de ver a tendência, eu deixei também essa opção, embora eu não use
CBG Swing HighLow MAThis indicator will show the swing high and lows for the number of bars back. It's very easy to use and shows good support and resistance levels.
I then took it a step further and added a moving average with all the standard types in my indicators:
SMA
EMA
Weighted
Hull
Symmetrical
Volume Weighted
Wilder
Linear Regression
I then added Bollinger Bands to show the standard deviation from the midline.
Finally, I added a simple bar coloring scheme: green if above the upper BB, Red if below and orange if in the middle.
I am just testing this out so please use with caution. If anyone in the community wants to run some backtests, that would be great and we would all appreciate it.
Of course you can keep it all simple and turn off all the moving averages and bollinger bands.
Enjoy! :-)
