Asia Range Shadow Box and ICT Killzones
If you watch ICT on youtube you will know what to do with this :-)
I had found a lot of great ideas but none of them completely had what I was personally looking for so I put all of the great ideas I had found and added my own twist to it.
I wanted a easily customizable indicator that did the following
- Showed the Asia...
Based on my VWAP + Fibo deviations indicator, I tested some strategies to see if the indicator can be profitable; and I got it !
This strategy uses:
+1.618 / +2.618 / -1.618 / -2.618 Deviations Extensions to create 2 bands
The value of the deviation
First, the 2 bands are plotted : +1.618/+2.618 painted in red and -1.618/-2.618...
This indicator shows price in relation to the standard deviations in a normalised way.
It can be seen as a kind of Bollinger Bands, where the bands stay the same size apart and price amplitude is modified between them,
or as a 'normalised' version of my BBC indicator.
Contrary to the popular use where price is seen as BOUNCING AGAINST the different deviations...
Historical Volatility Percentile tells you the percentage of the days from the past year (252 trading days) that have lower volatility than the current volatility.
I included a simple moving average as a signal line to show you how volatile the stock is at the moment.
I have included simple colors to let you know when to enter or exit a position.
The Garch (General Autoregressive Conditional Heteroskedasticity) model is a non-linear time series model that uses past data to forecast future variance.
The Garch (1,1) formula is:
Garch = (gamma * Long Run Variance) + (alpha * Squared Lagged Returns) + (beta * Lagged Variance)
The gamma, alpha, and beta values are all weights used in the Garch calculations....
I made a Fibo variant of my first script "VWAPs + devs" :
This new indicator give you the possibility to plot multi timeframes VWAP (D, W, M, 3M and 12M ) and Fibo deviations for each one.
VWAP is a powerfull indicator which is used by big players to get informations if the price is "overbought" or "oversold". Deviations give the opportunity to have supports...
The Ergodic Mean Deviation Indicator was created by William Blau and this is a hidden gem that takes the difference between the current price and it's exponential moving average and then double smooths the result to create this indicator. This double smoothing of course creates a lag that allows it to give off a sustained buy signal during a bullish trend and vice...
This indicator emphasizes price movements when it moves away from or closer to the chosen moving average, within the envelope of its standard deviation. It serves as a complement to other indicators or can be used within a strategy by itself.
This is the BASIC version of the PROBABILITY CLOUD indicator.
It is an evolution beyond traditional standard deviation probabilistic indicators only using bands or channels.
The new PROBABILITY CLOUD graphic representation with customizable transparent layers is based on -2 / +2 standard deviation calculated using 20 fixed predetermined time periods, and is...
This Indicator is yet another variation of KC. Inspired from Value Charts webinar. I have seen their videos on youtube. What appears to be a variation of KC.
They use 12 bands Showing the zone, and different MA for different timeframes.
You can get this indicator close to accuracy by changing the inputs (ATR) and (Deviations)
This also can be used with the...
The Deviation Scaled Super Smoother was created by John Ehlers and this is an excellent moving average that changes direction very quickly and can keep up with the current underlying trend. This indicator works by applying a Hann Windowed Moving Average to the stock's momentum and scaling that by the Root Mean Square and then using that value in the input for a ...
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...
Hello traders and developers!
I was wondering how built-in "dev" function in Pine is calculated so I made a little research.
I examined 7 samples:
0) "dev" function itself
1) "dev" according to its description: series - sma(series)
2) Mean Absolute Deviation
3) ratio of the absolute difference from 1) divided by period
4) ratio of the difference from 1)...