This model give us the following
1 .linear regression channel
2.dynamic upper and lower fibs
3. upper and lower bollinger bands
each specific to the time frame that you use
So by using all 3 in one indicator it easy to see ressistance and support level
This indicator finds the average time of High or Low formed in sessions.
This is a request from trader @Salmanmahmood15 . You need permission from him to fully use it
A very simple indicator that shows how many times a currency fits into Bitcoin. In other words, the higher the value, the weaker the currency against Bitcoin.
You can easily see that since the beginning of 2019 Stellar Lumen (XLM) lost half of its BTC-value while the USD-value was constant.
Experiment to try apply @atrader2's MA Forecast () to bollinger bands - didn't exactly work out how I expected it to, especially with the Upper/Lower forecast projections.
SniperTrading permite detectar los momentos exactos de compra y venta obteniendo un buen rendimiento.
Como aplicarlo:
* Realice una compra cuando el indicador de COMPRA aparezca en la pantalla.
* Realice una venta cuando el indicador de VENTA aparezca en la pantalla.
Shows slopes of macd line, signal line and histogram. A negative and rising slope shows improvement within a downtrend. A positive and falling slope shows deterioration within an uptrend.
This model calculate the slope of the linear regression and give you the uptrend or the down trend of the slope
red line are downtrend and green line are up trend
using len 1 you can make it longer or shorter (I put it on length of 40 but you can change that to what ever you want )
Similar to SAR it can give us the trends of buy and sell only by doing it by the...
This channel is based on Linear regression by its % difference from the price
the high and the low are determine by the % from the close price . For the best fit you need to put the TF on the same min of the graph.
I put the channel to be 3 % above and bellow the price .by the same way you can add to the script more % line to make it better
this is good...
This indicator was originally developed by Donald Dorsey (Stocks & Commodities, V.13:9 (September, 1995): "Refining the Relative Volatility Index").
Inertia is based on Relative Volatility Index (RVI) smoothed using linear regression.
In physics, inertia is the tendency of an object to resist to acceleration. Dorsey chose this name because he believes that trend...
This indicator was originally developed by Paul Kirshenbaum, a mathematician with a Ph.D. in economics from New York University.
It uses the standard error of linear regression lines of the closing price to determine band width. This has the effect of measuring volatility around the current trend, rather than measuring volatility for changes in trend.
Good luck!
This is a non-repaint version of the built-in linear regression indicator in pine. It creates moving bands where the current bar matches the built-in Linear Regression indicator exactly (see screenshot). The key to replicating the built-in function is calculating the std deviation across the length of bars away from the current Linear Regression line, as opposed...
So this system is a different approach to form a daily fib like system.
Its based on linear regression and its slope , we calculate the slope of the line and we put it in MTF format that is without security and non repainting (int2=1440 min)
As you in graph the coin in this case BTC has cycle from low to high similar to the fibs system.
the lowest level is...
![SPY: Linear Regression Channel [jwammo12]](https://s3.tradingview.com/l/lc1CYqfi_mid.png "Linear Regression Channel [jwammo12]")
