@RConner7 Thank You for the scanners...will use all 3 of them this week to see what pulls the bests results. Can I pick your brain a bit about this SuperTrend a bit? I made an MTF version of this SuperTrend based on a CSA study that I am currently testing. I am trying to find the sweet spot setting for this SuperTrend on a 1 min timeframe but with a 5 min time aggregation. My current setting on the 5 min chart is .07 ATR MULT and I left the NATR default 6 setting.
As you know...using a multi time frame of 5 min on 1 min chart you are prone to have the candles repaint in this case 5 candles back on the 1 min timeframe while the 5 min candle is still in OPEN condition. Even AFTER the 5 min candle closes the 1 min will paint 5 candles or however many candles back as your aggregation...This is not the point as that is expected just stating the obvious for people who may not know this.
I have also made a lower study version of this SuperTrend using "POINTS" to reflect the color of the candles. I wanted to use the lower study in conjunction with the upper MTF SuperTrend to serve as an entry or exit indication. With this in mind what is your recommendation of using possibly a higher ATR MULT than the 1.0 default setting on a 1 min chart? Also should I bother changing NATR form 6 to something else? I am trying to see if there is a value running this SuperTrend in MTF format on lower timeframes along with a lower study set to the current timeframe to see if there is possibly a quicker exit opportunity than on the main chart...in this case the 5 min.
It is rather scary how accurate this SuperTrend is...Yesterday I was using On Demand and I was looking at my other indicators such as True Momentum Oscillator...my friend who was helping me test this was drawing his trend lines all over the chart as he usually does when live trading...to find that IF ONLY the SuperTrend was used the best results would have been obtained on lower timeframes such as 5 min or less...The test was on 1 min chart with a 3 min aggregation FYI...seemed to work really well.
On the flip side though...high timeframes such as 15m + are also responsive BUT as with any SuperTrends they do tend to lag a bit when it comes to the candle color change vs the trend...as expected. I've had really good luck testing RSI crossover with the 5 SMA as well Mobius Price Range Color study found below. The combination of RSI cross over with Price Range Color and Stochastics FULL seemed to work really well...Anyway you can look at incorporating any of those studies I mentioned above to this SuperTrend to be even more responsive on a higher timeframe without compromising the trend? Would be nice to identify pullbacks on higher timeframes quicker other than by utilizing multi timeframe as I mentioned above.
Below is the Price Range Color by Mobius I referred to above...its very similar to the RSI crossing the 5 SMA...
Code:
# Price Range Color
# Mobius
# Smooths price over a range of bars eliminating noise
input range = 4;
def h = highest(high, range);
def l = lowest(low, range);
def c = close;
def Data = if ((c - l) / (h - l)) > .5
then low - tickSize()
else high + TickSize();
AssignPriceColor(if data < low then color.green else color.red);