This is an experimental study designed to identify potential areas of support and resistance using a hybrid between Camarilla and Fibonacci pivot calculations.
The levels are calculated by taking 110% of the previous interval's range multiplied by 8.33%, 16.67%, 25%, 50%, 61.8%, 78.6%, 100%, 127.2%, 141.4%, and 161.8%, then adding them above and below the interval...
This is an experimental variation of Bollinger Bands in which standard deviations are taken of price, multiplied by the Golden Mean and Fibonacci numbers, smoothed using a simple moving average, then offset by half of the specified period.
This is a simple experimental study designed to outline trend activity and volatility.
In this study, the amount of change between current source and source of a specified lookback is calculated, then added to and subtracted from current source.
Next an exponential moving average is taken of the values for smoothing over the specified period.
Lastly, a midline is...
This is an experimental study that utilizes Kaufman's Adaptive Moving Average and the McGinley Dynamic.
First, a fast and slow KAMA based McGinley Dynamic are calculated. The divergence between them is used to indicate wave direction.
The channel's bounds are calculated by taking the highest high and lowest low of the slow McGinley Dynamic over a specified channel...
This is an experimental study inspired by Goichi Hosoda's Ichimoku Kinkō Hyō.
In this study, a McGinley Dynamic replaces the Tenkan-Sen and Kaufman's Adaptive Moving Average replaces the Kijun-Sen.
The cloud is calculated by taking the mean of the highest high and lowest low, adding a golden mean standard deviation above and below, and offsetting it over the...
This is an experimental study designed to track directional polarities across multiple timeframes and express them as a simple two color grid.
The polarity in this calculation is determined by divergence between a fast and slow McGinley Dynamic.
Your current resolution's polarity is the top row, the rows below are are for higher timeframes of your choice.
EXPERIMENTAL: channel lines based on linear regression and exponential curves (only 3 steps tho) that can be customized to adjust the advance/decay start/middle/end of line plus the lenght of the steps, 2nd step is 4x longer then the 1st.
Measures price distance from extremes.
Ranging closer to 0 means topping/bottoming (this can stay in this state for a long time), (price near extreme).
Can be used to peak trend reversals(will need to keep doing tests with it)
EXPERIMENTAL --> Use at your own risk.
This type of moving average was originally developed by Alex Orekhov at his home. This WMA uses previous prices as weights for the new ones. At the moment, this is a highly experimental approach, so don't use it in real trading.
The weighting scheme is presented on the chart.