Best for higher time frames - 30m, 1H, 2H, 3H, 4H, D this strategy uses several factors that are pushed through an Inverse Fisher Transform (IFT). The higher the TF, the better the performance, up to 98%, but the number of deals tends to drop). Middle time frames (5m, 15m) look viable with Scaled Price (Scaled %P) and MFI factors. The factor list can be extended...
🐮 Bull Bear Filter Stochastic v1.0 🐻 by Cryptorhythms
This is the next evolution in the Bull Bear Filter system, and while it may look plain, its quite powerful.
Utilizing the price action leading qualities of BBF, we then apply a stochastic transform to the vanilla BBF value. This results in an excellent timing indicator.
Default Settings are optimized for...
Direct port of the original Fisher Transform to TradingView: media.johnwiley.com.au
This might be better suited to be combined with other indicator to be effective, such as the Fisher Transform of RSI.
I hope you have found this useful :)...
Market prices do not have a Gaussian probability density function
as many traders think. Their probability curve is not bell-shaped.
But trader can create a nearly Gaussian PDF for prices by normalizing
them or creating a normalized indicator such as the relative strength
index and applying the Fisher transform. Such a transformed output
creates the peak...