Inverse Fisher Transform on RSI

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


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
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:
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.
Sürüm Notları: here is the code

// author: KIVANC @fr3762 on twitter
// creator John EHLERS
study("Inverse Fisher Transform on RSI", shorttitle="IFTRSI")
rsilength=input(5, "RSI Length")
wmalength=input(9, title="Smoothing length")
v1=0.1*(rsi(close, rsilength)-50)
plot(INV, color=green, linewidth=2)
hline(0.5, color=red)
hline(-0.5, color=green)
Remove from Favorite Scripts Add to Favorite Scripts
Youtube'daki videlolarınızı takip ederek çalışıyorum.İndikatörler için tşkler hocam.
Cevap Gönder
look nice to hide false signals
Cevap Gönder
TR Türkçe
EN English
EN English (UK)
EN English (IN)
DE Deutsch
FR Français
ES Español
IT Italiano
PL Polski
RU Русский
PT Português
ID Bahasa Indonesia
MS Bahasa Melayu
TH ภาษาไทย
VI Tiếng Việt
JA 日本語
KO 한국어
ZH 简体中文
ZH 繁體中文
Ana Sayfa Hisse Senedi Takipçisi Forex Sinyal Bulucu Kriptopara Sinyal Bulucu Ekonomik Takvim Nasıl Çalışır Grafik Özellikleri Kurallarımız Moderatörler Web Sitesi & Aracı Kurum Çözümleri Widgetlar Hisse Senetleri Grafik Çizim Kitaplığı Özellik İste Blog ve Haberler SSS Yardım ve Viki Twitter
Profil Profil Ayarları Hesap ve Ödemeler Destek Kayıtlarım Destek Ekibi Yayınlanmış Fikirler Takip Edenler Takip Edilenler Özel Mesajlar Sohbet Çıkış