2 Sets of Moving Averages in 1 indicator slot: EMA 10 & 20 SMA 50 & 200
This Hull based channel , the resistance and the support based on Hull which also can be calculated as signal (big triangle) and represent by circles (red and black) the channel has bands that are based on ATR and std (2 or 4) you can change as you like The small arrow in green and red are the slope calculation (this also has signal and alerts) there is bullish...
This Script provides the 50 and 200 day moving average to provide a way to keep track of the classic Death Cross and Golden Cross. The 20 day moving average is just used as an early prediction of what the 50 day may do so you can keep and eye on it. If you are the kind of person that freaks out at sudden changes in the graphs it is probably best to just turn the...
There are many supertrend scripts, most uses close as source. This one uses EMA. You can change periods and factor settings by your trading strategy.
The Golden Cross is one of the simplest market indicator who helps long term investors to entry a position. With that in mind, I made a very easy to understand backtest showing how much we could earn if we entered in a Golden Cross and exit when Death Cross happening. Take this code and try in your favorite market. Of course, never use only this indicator to trade.
I just found this script from @kingthies here and like it. So i just made some changes and added some little code into it. Reduced some noise for the signals. Hope anyone can enjoy it. But keep in mind, did not test it on live trading! Had just some time and love to work in pine :) Original Happy Trading
//@version=3 study("OWEN 34-144EMA Trader", overlay=true) m = ema(close, 34) pm = ema(close , 34) t = ema(close, 144) pt = ema(close , 144) prev = pm - pt curr = m - t plot(m, "Momentum", blue, transp=0) plot(t, "Trend", red, transp=0) cross_up = prev <= 0 and curr > 0 cross_down = prev >= 0 and curr < 0
//@version=3 study("OWEN 34-144EMA Trader", overlay=true) m = ema(close, 34) pm = ema(close , 34) t = ema(close, 144) pt = ema(close , 144) prev = pm - pt curr = m - t plot(m, "Momentum", blue, transp=0) plot(t, "Trend", red, transp=0) cross_up = prev <= 0 and curr > 0 cross_down = prev >= 0 and curr < 0
Estimating the LSMA Without Classics Parameters I already mentioned various methods in order to estimate the LSMA in the idea i published. The parameter who still appeared on both the previous estimation and the classic LSMA was the sample correlation coefficient. This indicator will use an estimate of the correlation coefficient using the standard score thus...