The Self Referencing Stochastic Oscillator
The stochastic oscillator bring values in range of (0,100). This process is called Feature scaling or Unity-Based Normalization
When a function use recursion you can highlights cycles or create smoother results depending on various factors, this is the goal of a recursive stochastic.
For example : k =...
The BBC indicator shows price in relation to the upper (in red) and lower (in green) Bollinger Bands
It highlights breaks in the Bands, where the 0-line represents a price equal to the band.
These breaks can either be used as take-profit points or as entry points, depending on trend direction.
Entries can be at the beginning of a break (eg. for impulse or...
Stochastic CG Oscillator (Center of Gravity) script.
This indicator was originally developed by John F. Ehlers (see his book `Cybernetic Analysis for Stocks and Futures`, Chapter 8: `Stochasticization and Fisherization of Indicators`).
This is the translation of discret cosine tranform (DCT) usage by John Ehler for finding dominant cycle period (DC).
The price is first filtered to remove aliasing noise(bellow 8 bars) and trend informations(above 50 bars), then the power is computed.
The trick here is to use a normalisation against the maximum power in order to get a good frequency...
This script improves the default RSI. First. it identifies regions of the RSI which are oversold and overbought by changing the color of RSI from white to red. Second, it adds additional reference lines at 20,40,50,60, and 80 to better gauge the RSI value. Finally, the coolest feature, the middle 50 line is used to indicate which cycle the price is currently at. A...
Ehlers Stochastic Cyber Cycle indicator script.
This indicator was originally developed by John F. Ehlers (see his book `Cybernetic Analysis for Stocks and Futures`, Chapter 8: `Stochasticization and Fisherization of Indicators`).
Ehlers Cyber Cycle indicator script.
This indicator was originally developed by John F. Ehlers (see his book `Cybernetic Analysis for Stocks and Futures`, Chapter 4: `Trading the Cycle`).
This study is an experiment designed to identify market phases using changes in an approximate Hurst Exponent.
The exponent in this script is approximated using a simplified Rescaled Range method.
First, deviations are calculated for the specified period, then the specified period divided by 2, 4, 8, and 16.
Next, sums are taken of the deviations of each period,...
This implements the Even Better Sinewave indicator as described in the book Cycle Analysis for Traders by John F. Ehlers .
In the example I used 36 as the cycle to be analyzed and a second cycle with a shorter period, 9, the larger period tells where the dominant cycle is heading, and the faster cycle signals entry/exit points and reversals.
One of the early cycle indicators from John Ehlers.
Ehlers suggests using this with ITrend (see linked PDF below). Osc/signal crosses identify entry/exit points.
Options page has the usual set of configurable params.
More info:
- Simple Cycle Indicator: www.mesasoftware.com
List of my public indicators: bit.ly
List of my app-store indicators: ...
![BTCUSD: Hurst Exponent Market Phases [DW]](https://s3.tradingview.com/u/UR16Q7VB_mid.png "Hurst Exponent Market Phases [DW]")
![USDJPY: Ehlers Simple Cycle Indicator [LazyBear]](https://s3.tradingview.com/x/xQ4mP4kc_mid.png "Ehlers Simple Cycle Indicator [LazyBear]")
