CBG Keltner ChannelsKeltner Channel with the following Moving Average types: SMA, EMA, Weighted, Hull, Symmetrical, Volume Weighted, Wilder and Linear Regression. Plus 2 bands with full color shading.
The picture shows the Keltner channels with the Wilder MA, my favorite. See how easy it would have been to stay in the move down? Excellent indicator.
Wilder
CBG MultiAverages ColorsThe latest version of my multiple moving averages. Now includes up to 14 moving averge lines plus a separate slow and fast moving average that can be assigned a different MA type.
In the screen shot is the fast/slow set to Hull with 15/50 periods. It is overlaid on top of my Key Numbers indicator.
7 moving averages in 1 indicator, including the Hull Moving Average .
SMA
EMA
Weighted
Hull
Symetrical
Volume Weighted
Wilder
Linear Regression
Lots of other features like background shading and paint bar colors.
Trend Balance Point System by Welles WilderThis is the original Trend Balance Point System created by Welles Wilders in 1978, rules can be found in his book New Concepts in Technical Trading Systems.
RSI channel ob/os breakout [ChuckBanger]This is a breakout signal script based on reverse engineering of RSI. It shows a channel of overbought and oversold readings that the trader can sett in settings. When low crosses under lower line it shows bullish signal and when high is crossing upper line it shows a bearish signal. The script also has wilder's moving average as filter instead of high/low.
Good luck traders!
[STRATEGY] Parabolic SARA private strategy from the Profitable Parabolic SAR preview for backtesting purposes.
Palex 2.0Atualização do SETUP do saudoso Professor Alexandre Fernandes "Palex"
- Bandas de Bolliger (Standard) =
*Banda Superior = Média Móvel Simples (20 dias) + (2 x Desvio Padrão de 20 dias)
*Banda Inferior = Média Móvel Simples (20 dias) – (2 x Desvio Padrão de 20 dias)
- EMA 9 (Média Móvel Exponencial)
- SMA 21 (Média Móvel Simples)
- SMA 200 (Média Móvel Simples) Clássica MA 200 períodos
- SMA 400 (Média Móvel Simples)
- EMA 400 (Média Móvel Exponencial)
- WILD (Média Móvel Welles Wilder)
O mesmo usado pelo nosso grande Mestre PALEX!
Profitable RSI (Relative Strength Index)Introduction
As you know the Relative Strength Index (RSI) was originally developed by J. Welles Wilder and was described in his book "New Concepts in Technical Trading Systems" (1978). It is intended to measure the strength or weakness of an instrument for the specified period.
The most basic strategy is to use the crossovers as trade signals:
when RSI crosses above 30, go Long
when RSI crosses below 70, go Short
Exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for RSI. It analyzes the range of periods between 2 to 100 and backtests the RSI for each period using the strategy mentioned above across the entire history of an instrument. If the more profitable parameter was found, the indicator will switch its value to the found one immediately.
So, instead of manually selecting parameters just apply it to your chart and relax - the algorithm will do it for you.
The algorithm can work in two modes: Basic and Advanced "Early Switch" . The Early Switch algorithm makes some assumptions and activates a set of optimizations to find the better setting DURING the trades, not after they were closed.
The difference is illustrated on the screenshot below:
Additionally you can set up a backtest window through indicator's settings (the optimizers which were published before will get this feature soon).
Alerts
It has a special alert that notifies when a more profitable period was detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Day after day. Night after night.
I've been waiting to program again.
Day after day. Night by to night.
Trading is waiting inside your heart.
Volatility System by Wilder [LucF]The Volatility System was created by J. Welles Wilder, Jr. It first appeared in his seminal masterpiece, "New Concepts in Technical Trading Systems" (1978). He describes the system on pp.23-26, in the chapter discussing the first presentation ever of the "Volatility Index", built using a novel way of calculating a value representing volatility that he named Average True Range (ATR). The latter stuck.
The system is a pure reversal system (it is always either long or short). One of its characteristics is that its stop strategy moves up and down during a trade, widening the gap from price when volatility (ATR) increases. Because of this, this strategy can suffer large drawdowns and is not for the faint of heart.
The strategy uses a length (n) to calculate an ATR. ATR(n) is then multiplied by a factor to calculate the Average Range Constant (ARC). The ARC is then added to the lowest close n bars back to form the high Stop and Reverse points (SAR), and subtracted from the highest close n bars back to calculate the low SAR. Reversals occur when price closes above the high SAR or below the low SAR.
The system is best suited to higher time frames: 12H and above. Its performance depends heavily on calibration of the length and ARC factor. Wilder proposes a length of 7 and a factor between 2.8 to 3.1. My summary tests at 12H, 1D and 3D on stocks and cryptos yield better results with values of approximately 9-10/1.8-2.5 for cryptos and 9-10/3.0-4.0 for stocks. Small changes in the values will sometimes yield large variations in results, which I don’t particularly like because it tends to imply fragility, whereas I’d expect more robustness from a system with such simple rules. Additionally, backtests at 1D on cryptos provide so little data that no solid conclusions can be drawn from them.
All in all, the system is not very useful in my opinion; I publish it more for completeness, since as far as I can tell, it did not exist on this platform before. I also publish it out of respect for Wilder’s work. His book laid the foundation for many of the building blocks used by system designers, even today. In less than a hundred pages he presented RSI, ATR, DMI, ADXR and the Parabolic SAR indicators, some of which have become built-in functions in programming languages. This is a colossal feat and has not been repeated. Wilder is a monument.
Some lesser-known facts about his book:
It sells for the exact same price it cost in 1978: 65$,
The book has always been published by Wilder himself,
The layout hasn’t changed in 40 years,
He sells >35K copies/year.
Gotta love the guy.
The strategy is shown here on BTC /USD with settings of 12/1.8 (the defaults are 9/1.8). It shows the system under its best light. Other markets will most not reproduce such results. Also, the drawdown is as scary as the results are impressive.
Features
The code is written as a strategy but can easily be converted to an indicator if you want to use the alerts it can produce. Instructions are in the code.
You can change the length and ARC factor.
You can choose to trade only long or short positions.
You can choose to display the SARs (the stops) in multiple ways.
You can show trigger markers.
A date range can be defined.
3 alerts: reversals (both long and short), longs, shorts. Remember that for the moment, strategies cannot generate alerts in TradingView, so the strategy must be converted to an indicator in order to make the alerts available.
VACPWelles Wilder (delta phenomenon) a 4-day rotation indicator
PVAC is the acronym Alan uses for a four-day rotation cycle. The cycle itself is circularly continuous every days of the week, forever, including every holiday. Thus if, for instance, Monday was a P, Tuesday is V, Wednesday is A, Thursday is C. At this point the cycle repeats, with Friday being P, Saturday being V, Sunday being A, and the following Monday being C.
Having started, the cycle never changes. While each day tends to have the characteristics shown below, like all cycle tools, there are inversions, which will last a cycle or at times even more, and have reasonable odds of inverting regularly.
A trader who wants to incorporate a four-day rotation cycle into their work is encouraged to study for themselves whether this adds value.
Day: V-day Color: Red Characteristics: Closes well for bulls; Use your fleece bars Bar8 and Bar11; Bar8 open often a V-day return target; 'V' return comes early in day in bear moves, late in day in bullish moves
Day: A-day Color: Blue Characteristics: Closes poorly for bulls; Use your fleece bars 8 and 11; Generally 'A' shaped, but may have a kick-leg after 3pm
Day: C-day Color: Orange Characteristics: Consolidation day, aka 'consoly' day. It may not chop, but it may have an
accumulation or distribution quality to the action; Trade often and trade fast; Pattern traders fade 4HHs and 4LLs with backfill/pullbacks 3 bars later; Apexes and angulars tend to have less importance; Numerical traders trade after Bar8 open and use support one horizontal below, resistance one horizontal above; C-day opens often at the 25%; The afternoon action tends to be opposite to the morning action
Day: P-day Color: Green Characteristics: Often a trend day. Find the trend and enter it; Often opens at the 75%; Trade P-days against a quartile; Watch for price to be above/below the first apex: buy above or sell below ; Do not fade dead zone, minimal trading
Commodity Selection Index Strategy The Commodity Selection Index ("CSI") is a momentum indicator. It was
developed by Welles Wilder and is presented in his book New Concepts in
Technical Trading Systems. The name of the index reflects its primary purpose.
That is, to help select commodities suitable for short-term trading.
A high CSI rating indicates that the commodity has strong trending and volatility
characteristics. The trending characteristics are brought out by the Directional
Movement factor in the calculation--the volatility characteristic by the Average
True Range factor.
Wilder's approach is to trade commodities with high CSI values (relative to other
commodities). Because these commodities are highly volatile, they have the potential
to make the "most money in the shortest period of time." High CSI values imply
trending characteristics which make it easier to trade the security.
The Commodity Selection Index is designed for short-term traders who can handle
the risks associated with highly volatile markets.
Parabolic SARThis is a redesign of the built-in Parabolic SAR indicator. I added a proper input system, an option to highlight initial points for both lines and an option to choose points width. So, customize it as you want.
Parabolic SAR was originally developed by J. Welles Wilder and described in his book "New Concepts in Technical Trading Systems" (1978). It is a trend-following indicator that can be used as a trailing stop loss.
To know which settings for PSAR are the most profitable on your instrument and timeframe you can use this tool
Profitable Parabolic SAR
Profitable Parabolic SARIntroduction
As you know, Parabolic Stop and Reverse (SAR, PSAR) was originally developed by J. Welles Wilder and was described in his book "New Concepts in Technical Trading Systems" (1978). It derives its name from the fact that when charted, the pattern formed by the points resembles a parabola.
Mr. Wilder described it as "one of my favorite systems because it squeezes more profit out of an intermediate move than any method I know" .
Interpretation
PSAR follows price and can be considered a trend following indicator. Once a downtrend reverses and starts up, PSAR follows prices like a trailing stop. Same is true for the opposite direction.
Due to its nature, PSAR continuosly protects on long and short positions.
Parameters
One of the key components of PSAR is the Acceleration Factor (AF). The AF is one of a progression of numbers beginning at 0.02 and ending at 0.2 . The AF is increased by the increment of 0.02 each time that a new high is made until a value of 0.2 is reached.
Mr. Wilder used the next parameters
Start: 0.02
Increment: 0.02
Maximum: 0.2
and they are default for the built-in PSAR indicator and its strategy.
But are these params really profitable? Mr. Wilder noticed that "I have tried many different acceleration factors on this system and have found that a consistent increase of 0.02 works best overall...the range for the incremental increase is between 0.018 and 0.021 " .
That was then, in 1978. Other times have come. Is our grandpa still right in his recommendations?
I made this tool to figure it out.
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for PSAR. It analyzes a bunch of different Start (between 0.001 to 0.02 ) and Increment (between 0.001 to 0.03 ) parameters and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
Instead of manually selecting parameters, just relax - the algorithm will do it for you.
It doesn't touch the last parameter, Maximum , for two reasons.
First, as Mr. Wilder noticed in his book, "...the number of increases it takes to reach at least 0.2 , but do not exceed 0.22 " . That is, the parameter sits in a very narrow range.
Second, I tested different maximums and I came to the conclusion that this parameter has a minimal impact on net profit, compared with the more significant parameters of start and increment.
Alerts
It has an alert that notifies when the more profitable settings were detected.
NOTE : It does not change what has already been plotted.
Good luck!
Relative Strength IndexEvery developer must create his own Relative Strength Index with midline and other features).
In addition to the midline, highlighting and levels customization I give you ability to play with non-standard sources like On Balance Volume.
If someone doesn't know what is this:
This indicator was originally developed by J. Welles Wilder and was described in his book "New Concepts in Technical Trading Systems" (1978). It is intended to measure the strength or weakness of an instrument for the specified period.
RSI is a momentum oscillator and can have a reading from 0 to 100. The values of 70 or above indicate that an instrument is becoming overbought or overvalued and may be primed for a trend reversal or corrective pullback in price. The values of 30 or below indicates an oversold or undervalued condition.
The other significant signals are divergences with price and middle line crossovers. RSI if one the most used indicators on the planet.
Enjoy and good luck!
RSI ATR ChannelDraws a channel based on ATR (Average True Range) and RSI. Detects band touches and colors the background appropriately.
Heracles Original Wilder's ADX and DI +/- by ZekisOriginal Wilder's ADX and DI +/- (calculated with the 1978's original formula from Wilder's MA and not with the simple moving average, like almost all ADXs)
I changed the aspect for a nice and easy view
Black/yellow dashed line - threshold
Light blue line = ADX
Blue background - ADX above threshold
Yellow background - ADX bellow threshold
Green line - DI +
Red line - DI -
Green DI+/- background and green triangles - uptrend
Red DI +/- background and red triangles - downtrend
Candlesticks are colored according to the pattern
Possibility to enable or disable trend filter (threshold)
Alerts are added for entries and exits or longs or shorts
Green triangle - long/enter
Red triangle - short/exit
Yellow contaminated area - no certain trend
Green candles - uptrend
Red candles - downtrend
Yellow candles - no certain trend
Enjoy!
@ Zekis
Oscillators EqualizerAn oscillator of the oscillators. This is one of my private indicators that implements a quantitative approach: it collects readings from internal oscillators and calculates scores for the selected metric.
Features
46 well-known oscillators
6 metrics ( Bands Breakouts , Overbought/Oversold , Above/Below Middle Line , Middle Line Crossovers , Above/Below Signal Line , Signal Line Crossovers )
Oscillators customization
Implemented oscillators
Relative Strength Index (by J. Welles Wilder)
Chande Momentum Oscillator (by Tushar S. Chande)
Intraday Momentum Index (by Tushar S. Chande)
Stochastic RSI (by Tushar S. Chande and Stanley Kroll)
Aroon Oscillator (by Tushar S. Chande)
R-Squared Index (by Tushar S. Chande and Stanley Kroll)
Forecast Oscillator (by Tushar S. Chande)
Relative Momentum Index (by Roger Altman)
Moving Average Convergence/Divergence (by Gerald Appel)
Connors RSI (by Larry Connors)
Rapid RSI (by Ian Copsey)
Relative Spread Strength (by Ian Copsey)
Vortex Indicator (by Etienne Botes and Douglas Siepman)
Random Walk Index (by Michael Poulos)
True Strength Index (by William Blau)
Stochastic Momentum Index (by William Blau)
Ergodic Oscillator (by William Blau)
Smoothed Rate Of Change (by Fred G. Schutzman)
TRIX (by Jack Hutson)
Pretty Good Oscillator (by Mark Johnson)
Choppiness Index (by Bill Dreiss)
Tick Line Momentum Oscillator (by Daniel E. Downing)
Price Momentum Oscillator
Relative Volatility Index (by Donald Dorsey)
Trend Trigger Factor (by M. H. Pee)
Trend Intensity Index (by M. H. Pee)
Trend Detection Index (by M. H. Pee)
Trend Continuation Factor (by M. H. Pee)
Relative Vigor Index (by John F. Ehlers)
Fisher Transform (by John F. Ehlers)
CG Oscillator (by John F. Ehlers)
Stochastic CG Oscillator (by John F. Ehlers)
Laguerre RSI (by John F. Ehlers)
Rocket RSI (by John F. Ehlers)
Recursive Median Oscillator (by John F. Ehlers)
Super Passband Filter (by John F. Ehlers)
Roofing Filter (by John F. Ehlers)
Ehlers Stochastic (by John F. Ehlers)
Fisherized Deviation-Scaled Oscillator (by John F. Ehlers)
Bollinger Bands %B (by John Bollinger)
Williams %R (by Larry Williams)
Ultimate Oscillator (by Larry Williams)
Money Flow Index (by Gene Quong and Avrum Soudack)
Commodity Channel Index (by Donald Lambert)
Ease of Movement (by Richard W. Arms)
Chaikin Money Flow (by Marc Chaikin)
Average Directional Movement Index Rating ADXR by KIVANÇ fr3762Average Directional Movement Rating quantifies momentum change in the ADX . It is calculated by adding two values of ADX (the current value and a value n periods back), then dividing by two. This additional smoothing makes the ADXR slightly less responsive than ADX . The interpretation is the same as the ADX ; the higher the value, the stronger the trend.
The ADXR , being a smoothed version of ADX , and can be used similarly to the ADX in the three rule system discussed on the ADX section..
The ADXR is a measure of the spread between the Directional Indicators ( +DI and -DI ). When the ADXR is declining, it's not advised to use a trend following system. However, a rising ADXR signals that the dominant trend is likely to continue. A rising ADXR , with both the ADXR and DI+ above the D- indicates a strengthening bullish market. The scan syntax needed to represent this condition would be...
ADXR > DIMINUS AND DIPLUS > DIMINUS AND ADXR > ADXR .1
A rising ADXR , with both the ADXR and DI- above DI+ indicates a strengthening bearish trend . The scan syntax needed to represent this condition would be...
ADXR > DIPLUS AND DIMINUS > DIPLUS AND ADXR > ADXR .1
If the ADXR has been below both DI+ and DI- but has begun to rise a new market trend is emerging. The scan syntax needed to represent this condition would be...
ADXR < DIPLUS AND ADXR < DIMINUS AND ADXR > ADXR .1
IMPORTANT NOTICE: USERS CAN ADD ADX DI+ and DI- indicators by checking the box in the settings of the indicator.
Developed by J.Welles Wilder
ÖNEMLİ BİLGİ: KULLANICILAR ADX , DI- ve DI+ indikatörlerini de ayarlar bölümündeki kutucukları işaretleyerek sayfaya ekleyebilirler.
Wilder's RSIThe Wilder's RSI provides signals that tell investors to buy when the security or currency is oversold and to sell when it is overbought.
Best Setup -> 5M, 15M Charts used Level 20 (oversold) & 80 (overbought) , RSI Length at 20 and EMA Of RSI Length at 9
EnJoy ;)
WILDER'S Moving Average by fr3762 KIVANCThe Wilder’s Moving Average indicator (Wilder’s Smoothed Moving Average ) was developed by Welles Wilder and introduced in his 1978 book, “New Concepts in Technical Trading Systems.” Mr. Wilder did not use the standard EMA formula; instead, the following formula is used: EMA = Input * K + EMA * (1-K), where K = 2 / (N+1). Then to find the Wilder’s Moving Average, the following calculation is performed: Input * K + EMA * (1-K), where K =1/N.
Type to use
Moving averages are commonly used to identify trends and reversals as well as identifying support and resistance levels. Moving averages such the WMA and EMA , which are more sensitive to recent prices (experience less lag with price) will turn before an SMA . They are therefore more suitable for dynamic trades, which are reactive to short term price movements. Moving averages such as the SMA move more slowly providing valuable information on the long dominant trend. They can however be prone to giving late signals causing the trader to miss significant parts of the price movement.
Trade Signals
Moving Average Crossovers: Moving average crossovers is a term applied when more than one moving average is used to generate a trade signal where traders will act when the shorter term moving average crosses the longer term moving average. A bullish crossover occurs when the shorter term moving average crosses above the longer term moving average (golden cross). A bearish crossover occurs where the shorter term moving average crosses below the longer term moving average (dead cross).
Price crossovers: A Price crossover is a term applied when a signal is generated where the price crosses a moving average. Bullish signals are given when the price moves above the moving average, bearish signals are given when the price moves below the moving average. Crossover trades are more likely to enjoy success when the moving average slopes are in the direction of the trade.
Support and Resistance: Moving averages can also act as a support level in an uptrend and resistance levels in a downtrend. If the average is widely followed orders in favour of the trend often cluster around the average. As markets are often driven by emotion and many players trade counter to the trend expect overshoots, to this extent the average should be used to identify support and resistance zones rather than exact levels.
from: mahifx.com
Developed by WELLES WILDER
Triple Smoothed ADX＝＝日本語説明も併記 // Japanese discription is following ＝＝
■ Momentum index (Smoothed ADX triple display)
■ Effective assets: All
■Example of utilization
1) Trend generation is assumed at the timing when at least two lines including the blue thick line (14) are raised
2) Confirm the candlestick and if the price jumps out of the Bollinger band ± 1 σ, the trend toward that direction and recognition
3) If the closing price is confirmed within ± 1σ of the Bollinger band, close the position
■ Detailed explanation
Three Smoothed ADX with different parameters are displayed at the same time. As known as ADX included in DMI, it shows the strength of the trend.
It develops color in an upward phase to make it easy to recognize strengthening and weakening trends, and fades in a downward phase.
In addition, in accordance with the method of Wilder of the inventor in the calculation of ADX, a modified moving average (Smoothed Moving Average) is used instead of SMA.
Daily use is basic, but you can use it with the same parameters for other time feet.
The basic parameter (14) is set to a thick blue line for the most visibility.
Long-term parameters (52 * 26 is also acceptable) are indicated by blue circles as an auxiliary element for judging the rising margin of the basic line.
The short-term parameter (7) is displayed as a line as an auxiliary element for recognizing the peak out of the basic line in advance.
In some cases, changing the short term (7) to the very long term (100) allows you to recognize the major market price level once in several years.
Three periods The phrase "all lines" goes from "low position" to "rising together" is considered the strongest trend.
On the other hand, in the case where the short-term line rises backwards as the longer-term line goes down, it tends to end up with short-lived trends and failure to form trends.
Please note that there is no way to judge whether the trend suggested by this index rises or falls from this index, so it is necessary to confirm the main chart. (It is preferable to display parabolic SAR or Bollinger band)
■ Remarks
It is an index created assuming that it is used as Triple STD-ADX in combination with Triple Smoothed ADX（to be posted later）.
■ About Triple STD-ADX
Triple Standard Deviation "and" Triple Smoothed ADX "are superimposed and displayed as" Screen (without scale) "to function as" Triple STD - ADX ".
The method of utilization is the same as Triple Standard Deviation and Triple Smoothed ADX, but by simultaneously displaying two momentum indicators with different calculation approaches with multiple parameters, we aim to mutually complement the cognitive power of trends.
STD (13, 26, 52, 100, 200) and ADX (7, 14, 26, 52, 100) correspond to reaction rates respectively.
By choosing different reaction rates you can expect to further increase reliability.
You can estimate the reliability of the trend most reliably in a situation where all six signals in total rise from low to high.
■Sample: STD-ADX Trade Signal
========================================================
モメンタム指標（Smoothed ADXの3連表示）
■ 有効アセット：すべて
■ 活用の一例
１）青の太線（14）を含む少なくとも2本のラインが上昇したタイミングでトレンド発生を想定
２）ローソク足を確認し、ボリンジャーバンド±1σの外に価格が飛び出している場合はその方向へのトレンドと認識
３）ボリンジャーバンド±1σ以内で終値が確定した場合にはポジションクローズ
■ 詳細説明
パラメーターの異なる３つのSmoothed ADXを同時に表示します。DMIに内包されるADXとして知られるように、トレンドの強度を示します。
トレンドの強化と弱化を認識しやすいように上昇局面で発色し、下降局面で退色します。
なお、ADXの計算において考案者ワイルダーの手法に倣い、SMAではなく修正移動平均（Smoothed Moving Average/ワイルダー移動平均）を使用しています。
活用は日足が基本ですが、他の時間足に対しても同一パラメーターで使用することができます。
基本パラメーター（14）は最も視認しやすいように青の太線にしています。
長期パラメーター（52※26も可）は基本線の上昇余力を判断するための補助要素として青色の丸点で表示しています。
短期パラメーター（7）は基本線のピークアウトを先行して認識するための補助要素としてラインで表示にしています。
場合によって、短期(7)を超長期（100）に変更することで数年に一度のレベルの大相場が認識できます。
3期間「全てのライン」が「低い位置」から「揃って上昇」する局面を最も強いトレンドと考えます。
一方、より長期のラインが低下する中、より短期のラインが逆行して上昇するケースでは、短命のトレンドやトレンド形成失敗に終わることが多くなります。
なお、本指標が示唆するトレンドが上昇か下降かは本指標からは判断する術はないため、必ずメインチャートを確認する必要があります。（パラボリックやボリンジャーバンドを表示すると好適）
■備考
先に掲載したTriple Standard Deviationと併用して、Triple STD-ADXとして使用することを想定して作成した指標です。
■Triple STD-ADXについて
「 Triple Standard Deviation 」と「Triple Smoothed ADX」を一方を「スクリーン（スケールなし）」として重ねて表示させることで「Triple STD-ADX」として機能します。
活用方法はTriple Standard DeviationやTriple Smoothed ADXと同じですが、算出アプローチの異なる２つのモメンタム指標を複数パラメーターで同時に表示させることで、トレンドの認識力を相互に補完する狙いがあります。
反応速度はそれぞれSTD（13,26,52,100,200)とADX（7,14,26,52,100)がほぼ対応します。
異なる反応速度を選択することで信頼度をさらに高めることを期待できます。
合計6本のシグナル全てが低い位置から揃って上昇する局面でトレンドの信頼性を最も高く見積もることができます。
