Trailing Stop Loss Indicator by KıvanÇ fr3762TRAILING STOP LOSS INDICATOR is a helpful tool for traders to help one of the greatest problems that they face: where to sell?
by using trailing stop loss you can easily decide and see possible downward movements and understand if you are in a safe zone.
Using Trailing Stop Loss is just simple:
Go short/ Sell when price crosses down the indicator,
Stay on long position if prices are above the indicator.
The indicator is calculated from previous Lows and doesn't the value won't change until prices makes higher lows.
TURKISH EXPLANATION:
İz Süren Stop Loss İndikatörü
Adım 1- bu günün düşük fiyatından geriye doğru, daha düşük fiyatlı bir günle karşılaşıncaya kadar yatay bir çizgi çizin
bu sizin birinci countback’ iniz olacak.
Adım 2- bu yeni düşük günün düşük fiyatından geriye doğru tekrar bir başka düşük güne gelene kadar yatay bir çizgi
çekin. Bu sizin ikinci countback’ iniz olacak.
Adım 3- bu ikinci düşük günün düşüğünden ileri bu günkü tarihe kadar yatay bir çizgi çekin bu sizin talimat
verdiğinizde stop-loss noktanız oluyor.
Kural 1- asla aşağıya doğru stop koymayın. Eğer yeni stop-loss noktanız öncekinden daha düşükse onu atıyorsunuz.
Bu kural asla bozulmamalı.
Kural 2- countback çizginiz üzerindeki aynı düşük fiyata denk gelen günleri yok sayın. İkinci contback çizginizi çekmek
için ilkinden daha düşük bir nokta bulmalısınız. Eğer aynı düşük fiyata sahip bir çubuğa denk gelirseniz daha düşüğünü
buluncaya kadar devam edin. Gerçekten hepsi bu kadar. Bu kuralları uygulayarak stop-loss noktamızı her yeni günün
datası eklendikçe uzatabiliriz.
drive.google.com
FR3762
TKE INDICATOR by KıvanÇ fr3762TKE INDICATOR is created by Dr Yasar ERDINC (@yerdinc65 on twitter )
It's exactly the arithmetical mean of 7 most commonly used oscillators which are:
RSI
STOCHASTIC
ULTIMATE OSCILLATOR
MFI
WIILIAMS %R
MOMENTUM
CCI
the calculation is simple:
TKE=(RSI+STOCHASTIC+ULTIMATE OSCILLATOR+MFI+WIILIAMS %R+MOMENTUM+CCI)/7
Buy signal: when TKE crosses above 20 value
Oversold region: under 20 value
Overbought region: over 80 value
Another usage of TKE is with its EMA ,
You can add the EMA line of TKE in the settings menu by clicking the "Show EMA Line" button:
the default value is defined as 5 bars of EMA of the TKE line,
Go long: when TKE crosses above EMALine
Go short: when TKE crosses below EMALine
Inverse Fisher Transform COMBO STO+RSI+CCIv2 by KIVANÇ fr3762A combined 3in1 version of pre shared INVERSE FISHER TRANSFORM indicators on RSI , on STOCHASTIC and on CCIv2 to provide space for 2 more indicators for users...
About John EHLERS:
From California, USA, John is a veteran trader. With 35 years trading experience he has seen it all. John has an engineering background that led to his technical approach to trading ignoring fundamental analysis (with one important exception).
John strongly believes in cycles. He’d rather exit a trade when the cycle ends or a new one starts. He uses the MESA principle to make predictions about cycles in the market and trades one hundred percent automatically.
In the show John reveals:
• What is more appropriate than trading individual stocks
• The one thing he relies upon in his approach to the market
• The detail surrounding his unique trading style
• What important thing underpins the market and gives every trader an edge
About INVERSE FISHER TRANSFORM:
The purpose of technical indicators is to help with your timing decisions to buy or
sell. Hopefully, the signals are clear and unequivocal. However, more often than
not your decision to pull the trigger is accompanied by crossing your fingers.
Even if you have placed only a few trades you know the drill.
In this article I will show you a way to make your oscillator-type indicators make
clear black-or-white indication of the time to buy or sell. I will do this by using the
Inverse Fisher Transform to alter the Probability Distribution Function ( PDF ) of
your indicators. In the past12 I have noted that the PDF of price and indicators do
not have a Gaussian, or Normal, probability distribution. A Gaussian PDF is the
familiar bell-shaped curve where the long “tails” mean that wide deviations from
the mean occur with relatively low probability. The Fisher Transform can be
applied to almost any normalized data set to make the resulting PDF nearly
Gaussian, with the result that the turning points are sharply peaked and easy to
identify. The Fisher Transform is defined by the equation
1)
Whereas the Fisher Transform is expansive, the Inverse Fisher Transform is
compressive. The Inverse Fisher Transform is found by solving equation 1 for x
in terms of y. The Inverse Fisher Transform is:
2)
The transfer response of the Inverse Fisher Transform is shown in Figure 1. If
the input falls between –0.5 and +0.5, the output is nearly the same as the input.
For larger absolute values (say, larger than 2), the output is compressed to be no
larger than unity . The result of using the Inverse Fisher Transform is that the
output has a very high probability of being either +1 or –1. This bipolar
probability distribution makes the Inverse Fisher Transform ideal for generating
an indicator that provides clear buy and sell signals.
Creator: John EHLERS
Squeeze Momentum Indicator [LazyBear] Version2 by KıvanÇ fr3762Modified version of Squeeze Momentum Indicator including line graph of the main indicator instead of using a Histogram and a second Signal line (5 bars SMA of the original line) to provide visual BUY/SELL signals
BUY when Blue crosses ABOVE the RED signal line
SELL when Blue crosses BELOW the RED signal line
author: LazyBear
modified by: KıvanÇ @fr3762 on twitter (tweets are only in TURKISH)
TURKISH EXPLANATION:
Orijinal indikatördeki histogram yerine çizgi grafiği alınarak bu grafiğin 5 barlık basit hareketli ortalaması sinyal çizgisi olarak eklendi.
Al Koşulu: Mavi çizginin Kırmızıyı yukarı kesmesi
Sat koşulu: Kırmızı çizginin Maviyi yukarı kesmesi
Zero Lag EMA v2 by KIVANÇ fr3762A different version of ZERO LAG EMA indicator by John Ehlers and Ric Way...
In this cover, Zero Lag EMA is calculated without using the PREV function.
The main purpose is that to provide BUY/SELL signals earlier than classical EMA's.
You can see the difference of conventional and Zero Lag EMA in the chart.
The red line is classical EMA and the blue colored line is ZEMA ( Zero Lag Ema ).
Turkish Explanation:
Ehlers ve Way'in ZERO LAG ,ndikatörünün Prev (previous value) kullanılmadan yorumlanarak hesaplanmış hali.
Amaç klasik Üssel Ortalamaya göre daha hızlı tepki verip, Al/Sat sinyallerini daha erken alabilmek.
Grafikte kırmızı renkle görülen normal Üssel HO ve mavi renkli olan Zero Lag (gecikmesiz) Üssel HO
Super Smoothed MACD for STOCKS by KIVANÇ fr3762THIS INDICATOR IS DESIGNED USING EHLERS' SUPER SMOOTHER FILTER
DESIGNED FOR STOCKS
(another version available for CRYPTO TRADE: Super Smoothed MACD for CRYPTO by KIVANÇ fr3762)
Instead of EXPONENTIAL MOVING AVERAGES in traditional MACD calculation, Super Smoothed prices are used.
The default values of BAND EDGE's (periods) of these Super Smoothed Prices are 13,8, and 3 (Fibonacci numbers) which pretty work well for daily trade
users can change these values 13,8,5 or 21,13,5 or 21,13,8 and so on to have optimum trade productivity
Super Smoothed MACD for CRYPTO by KIVANÇ fr3762THIS INDICATOR IS DESIGNED USING EHLERS' SUPER SMOOTHER FILTER
DESIGNED FOR CRYPTO TRADE
(another version available for stocks also: Super Smoothed MACD for STOCKS by KIVANÇ fr3762)
Instead of EXPONENTIAL MOVING AVERAGES in traditional MACD calculation, Super Smoothed prices are used.
The default values of BAND EDGE's (periods) of these Super Smoothed Prices are 13,8, and 5 (Fibonacci numbers) which pretty work well for daily trade
users can change these values 13,8,3 or 21,13,5 or 21,13,8 and so on to have optimum trade productivity
Inverse Fisher Transform on SMI (Stochastic Momentum Index)Inverse Fisher Transform on SMI (Stochastic Momentum Index)
About John EHLERS:
From California, USA, John is a veteran trader. With 35 years trading experience he has seen it all. John has an engineering background that led to his technical approach to trading ignoring fundamental analysis (with one important exception).
John strongly believes in cycles. He’d rather exit a trade when the cycle ends or a new one starts. He uses the MESA principle to make predictions about cycles in the market and trades one hundred percent automatically.
In the show John reveals:
• What is more appropriate than trading individual stocks
• The one thing he relies upon in his approach to the market
• The detail surrounding his unique trading style
• What important thing underpins the market and gives every trader an edge
About INVERSE FISHER TRANSFORM:
The purpose of technical indicators is to help with your timing decisions to buy or
sell. Hopefully, the signals are clear and unequivocal. However, more often than
not your decision to pull the trigger is accompanied by crossing your fingers.
Even if you have placed only a few trades you know the drill.
In this article I will show you a way to make your oscillator-type indicators make
clear black-or-white indication of the time to buy or sell. I will do this by using the
Inverse Fisher Transform to alter the Probability Distribution Function (PDF) of
your indicators. In the past12 I have noted that the PDF of price and indicators do
not have a Gaussian, or Normal, probability distribution. A Gaussian PDF is the
familiar bell-shaped curve where the long “tails” mean that wide deviations from
the mean occur with relatively low probability. The Fisher Transform can be
applied to almost any normalized data set to make the resulting PDF nearly
Gaussian, with the result that the turning points are sharply peaked and easy to
identify. The Fisher Transform is defined by the equation
1)
Whereas the Fisher Transform is expansive, the Inverse Fisher Transform is
compressive. The Inverse Fisher Transform is found by solving equation 1 for x
in terms of y. The Inverse Fisher Transform is:
2)
The transfer response of the Inverse Fisher Transform is shown in Figure 1. If
the input falls between –0.5 and +0.5, the output is nearly the same as the input.
For larger absolute values (say, larger than 2), the output is compressed to be no
larger than unity. The result of using the Inverse Fisher Transform is that the
output has a very high probability of being either +1 or –1. This bipolar
probability distribution makes the Inverse Fisher Transform ideal for generating
an indicator that provides clear buy and sell signals.
MACDeA different style of MACD indicator with different period values of WEIGHTED and EXPONENTIAL MOVING AVERAGES INSTEAD OF only EXPONENTIAL.
Default MOVING AVERAGES ARE
faster period: 8bars EMA
slower period: 13 bars EMA
signal period: 5 bars WMA
TURKISH EXPLANATION:
MACD indikatörünün sadece üssel yerine AĞIRLIKLI ve ÜSSEL hareketli ortalamalar kullanılarak daha erken sinyaller alabilmek için daha kısa periyotlarla yorumlanması
fikir @kenyaborsa on twitter
yazar: KIVANÇ @fr3762 on twitter
Double HULL Moving AverageTHIS IS A COMBINATION OF TWO HULL MOVING AVERAGE LINES
-ONE WITH LONGER PERIOD
-OTHER WITH SHORTER PERIOD TO INDICATE BUY/SELL SIGNALS
AS THE KNOWN GENERAL RULE;
IT WOULD BE A BUY SIGNAL WHEN SHORTER(BLUE LINE) HULL CROSSES ABOVE LONGER (RED LINE) ONE
AND CONVERSELY A SELL SIGNAL WHEN LONGER HULL CROSSES ABOVE SHORTER ONE
THIS STUFF IS USEFUL FOR USERS COMPLAINING ABOUTREACHING THE MAXIMUM NUMBER OF INDICATORS :)
KıvanÇ
@fr3762 on twitter (only tweeting in TURKISH)
fr3762 on youtube for indicator explanations in TURKISH)
TURKISH EXPLANATION:
2 HULL hareketli ortalaması aynı grafikte:
Kısa periyotlu (mavi) olan uzunu yukarı kestiğinde AL
Uzun periyotlu (kırmızı) olan kısayı yukarı kestiğinde SAT sinyalleri üretir
Varsayılan periyotlar, birer Fibonacci sayıları olan 8 ve 21 olarak belirlenmiştir, değiştirilebilir.
İndikatör sayısı sınırlamasının önüne geçmek amacıyla geliştirilmiştir.
FIBONACCI BANDS by KIVANCfr3762Calculated with a default value of 14 periods of EMA and 14 periods of Average True Range ( SMA )
There are 4 levels of upper bands and 4 levels of lower bands in the indicator
its calculated adding and subtracting ATR( SMA ) values with coefficients 1, 1.618, 2.618 and 4.236 (Fibonacci ratios) to EMA of close prices.
Top and Bottom Fibo lines are aceepted as significant Resistance and Support levels.
AWESOME OSCILLATOR V2 by KIVANCfr3762AWESOME OSCILLATOR V2 by KIVANC @fr3762
CONVERTING THE OSCILLATOR to a curved line and added a 7 period SMA as a signal line,
crosses are BUY or SELL signals like in MACD
Buy: when AO line crosses above signal line
Sell: when Signal line crosses above AO line
