OPEN-SOURCE SCRIPT
更新済 Fisher Multi-Pack [DW]

This is an experimental study designed to visualize price activity using John Ehlers Fisher Transform and Inverse Fisher Transform methods.
The Ehlers Fisher Transform is a variation of R. A. Fisher's Z transformation.
In this study, there are five oscillator types to choose from:
-Fisher Transform Indicator - A conversion of price's probability distribution to a Gaussian normal distribution with a smoother output
-Inverse Fisher Relative Strength Index - Converts the RSI's distribution to a bounded distribution between 1 and -1 with a smoother output
-Inverse Fisher Stochastic Oscillator - Converts the Stochastic's distribution to a bounded distribution between 1 and -1 with a smoother output
-Inverse Fisher Commodity Channel Index - Converts the CCI's distribution to a bounded distribution between 1 and -1 with a smoother output
-Inverse Fisher Blast Off Momentum - Converts the BOM's distribution to a bounded distribution between 1 and -1 with a smoother output
The study uses a modified set of Bollinger Bands applied to the chosen oscillator to determine trend and impulse activity, which are highlighted by the color scheme.
Custom bar colors are included.
The Ehlers Fisher Transform is a variation of R. A. Fisher's Z transformation.
In this study, there are five oscillator types to choose from:
-Fisher Transform Indicator - A conversion of price's probability distribution to a Gaussian normal distribution with a smoother output
-Inverse Fisher Relative Strength Index - Converts the RSI's distribution to a bounded distribution between 1 and -1 with a smoother output
-Inverse Fisher Stochastic Oscillator - Converts the Stochastic's distribution to a bounded distribution between 1 and -1 with a smoother output
-Inverse Fisher Commodity Channel Index - Converts the CCI's distribution to a bounded distribution between 1 and -1 with a smoother output
-Inverse Fisher Blast Off Momentum - Converts the BOM's distribution to a bounded distribution between 1 and -1 with a smoother output
The study uses a modified set of Bollinger Bands applied to the chosen oscillator to determine trend and impulse activity, which are highlighted by the color scheme.
Custom bar colors are included.
リリースノート
Updates:Cleaned up the script. Removed clutter.
Removed Inverse Fisher BOM from the oscillator types due to an excessive amount of false readings.
Thresholds are no longer Bollinger Bands. Instead, they are calculated using a cumulative average of the oscillator's deviation from 0.
Minor aesthetic changes.
リリースノート
Updates:-> Reorganized script structure.
-> Main calculations are now expressed as functions.
-> Added custom threshold inputs.
-> Added an option to compress the oscillator around thresholds by a specified level of intensity. (Most useful with Fisher Transform oscillator type.)
-> Revamped color scheme.
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オープンソーススクリプト
TradingViewの精神に則り、この作者はスクリプトのソースコードを公開しているので、その内容を理解し検証することができます。作者に感謝です!無料でお使いいただけますが、このコードを投稿に再利用する際にはハウスルールに従うものとします。
For my full list of premium tools, check the blog:
wallanalytics.com/
Reach out on Telegram:
t.me/DonovanWall
wallanalytics.com/
Reach out on Telegram:
t.me/DonovanWall
免責事項
これらの情報および投稿は、TradingViewが提供または保証する金融、投資、取引、またはその他の種類のアドバイスや推奨を意図したものではなく、またそのようなものでもありません。詳しくは利用規約をご覧ください。