This is a useful indicator as it shows potential long and short regions by coloring the AI wavecloud green or red.
There is an option to show a faint white background in regions where the green/red cloud parts are failing as a trade from the start position of each region.
Its a combination of 3 algos I developed, and there is an option to switch to see these individually, although this has lots of info and is a bit confusing.
It does have alerts and there are text boxes in the indicator settings where a comment can be input - this is useful for webhooks bots auto trading.
Most useful in this indicator is that at the end of each green/long or red/short region there is a label that shows the % gain or loss for a trade.
The label at the end of the chart shows the % of winning longs/shorts and the average % gain or loss for all the longs/shorts within the set test period (set in settings)
So, I generally set the chart initially on a 15min timeframe with the indicator timeframe (in settings) set to run on say 30min or 1hour. I then select a long test period (several plus months) and then optimize the wavelcloud length (in settings) to give the best %profit per trade. (Longs always seem to give better results than shorts)
I then, change the chart timeframe to much faster, say 1min or 5min, but leave the indicator timeframe at 1 hour. In this manner - the label only shows a few trades however, the algo is run at every bar close and when this is set to 1min, this means that losses will be minimised at the bot exits quickly. In comparison - if the chart is on a 15min timeframe - it can take this amount before the bot will exit a trade and by then there could be catastrophic losses.
It is quite hard to get a positive result - although with a bit of playing around - just as a background indicator - I find this useful. I generally set-up on say 4charts all with different timeframes and then look for consistency between the long/short signal positions. (Although when I run as a bot I use a fast timeframe)
Please do leave some comments and get in touch.
MoonFlag (Josef Tainsh PhD)