This is a mean reversion indicator that anticipates a local trend reversion. Basically, it is a channel with the mid-line serving as a moving mean baseline. Each of the two curves run up and down within this channel bouncing off from the top and bottom bounds. Touching the bounds serves as an indication of a local trend reversal. The reversal signal is stronger...
No, it's not a new saturation plugin for your fruity loops.
These are Mean Average Deviations calculated from Harmonic Mean.
In my previous research I tried to develop "Harmonic Average Deviations", since applying stdevs on Harmonic Mean calculated from reciprocals ain't make sense. Din't work out, prolly cuz by definition stdevs doesn't like negatives. So...
This is a simplified version of the Hurst Exponent indicator.
In the meantime, I'm working on the full version. It's computationally intensive, so it's a challenge to squeeze it to PineScript limits. It will require some time to optimize it, so I decided to publish a simplified version for now.
The Hurst exponent is used as a measure of long-term memory of time...
This indicator aims to aid in using the regular London Breakout strategy, as well as improve on it by adding a trailing stop based on the Mean Deviation Index.
The London Breakout strategy (according to my personal understanding) basically sees the morning before London open as the accumulation or distribution range for large buyers or sellers, and assumes the...
The Bollinger Imbalance Oscillator is used for *mean reversion* purposes only.
It uses Double Bollinger deviation levels to determine each level of perceived imbalance.
When price start to revert to its mean after an imbalance, small char-type arrows appear to assist with direction.
This oscillator also includes a squeeze feature on the center-line, based on...
I'm publishing it for research purposes & welcome any ideas and/or explanations whether it's actually possible or nah to do what I'm doing right now.
Idea is simple - if we can do Harmonic Mean, can we do Harmonic Standard Deviations? It should be the same logic, the only difference is instead of actual datapoints we gotta use reciprocals.
In reality I've...
This script shows the price development over the last year (default: green) and mean prices over the last three (default: light green), six (default: orange) and nine (default: red) years and is therefore at least some kind of approach towards true seasonality.
Thanks to user "apozdnyakov" for providing most of the code!
Dieses Skript zeigt...
This is a continuation of my series on forecasting techniques. The idea behind the Simple Mean method is to somehow extend historical mean to the future. In this case a forecast equals to last value plus average change.
Ok, Here we go - Version 1 of TTM Reversion Band goes live.
Link to TTM Reversion Band - www.tradethemarkets.com
Link to TTM Reversion Band Guide - kb.simplertrading.com
John Carters Mastering the trade - www.amazon.com
For the amount of...
The following script is an application of the Z-Score (previous script).
Z-Scores can be used in place of standard deviation (sigma) in 'Bollinger Bands'.
The average of the sample (x-bar) over 21 days (N)
21 average trading days per month, fixed value
The average of the population (mu) over 63 days (n)
63 days per quarter, default is set to 63
The Zero Mean Roofing Filter was created by John Ehlers (Cycle Analytics For Traders pg 80) and this is a much more reactive roofing filter compared to Ehler's Roofing Filter which I also added for reference. Buy when the indicator rises over 0 and sell when the indicator falls below 0.
This was a special request so let me know if there are other indicators you...
Here is a nice little script that highlights areas of volume using standard deviation, you can choose the look back periods.
This script is based on the excellent script by: @SteynTrade -
I have simplified it a bit and made it readable to my taste using alpha to highlight high volume areas.
The z-score is a way of counting the number of standard deviations between a given data value and the mean of the data set.
Z-score = (x̄ - μ) / (σ / √ n)
x̄ = sample mean (using the array.avg function = array(a,close ), where i = 1 to 21)
μ = population mean ( = avg(close, n))
σ = standard deviation of the population ( = stdev(close,n))
n = number of 'close'...
B3 Pendulums, quick little indicators that do change print inside the current bar, so beware. It is good for anticipation, but it is important to make sure the current and next bars follow through.
Ever wanted an indicator that really points out the micro term action in the form of a pendulum swing? This my attempt to show the market ups and downs in the...