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Hello @matthew55, thank you for the response!

For the day-trading, you’re not alone. 🙂 Doing so is very challenging even for machines.

What I can say is this is a completely different machine learning model. Our current models really prefer to trade in the “swing trading” time frame–that’s not a constraint we put on the models, but they always settle in that timezone.

Technically, it’s a big challenge to do the day trading. We’ve had the concepts in place for a while. And our systems have been collecting data specifically for this, but it wasn’t until we put the recent performance enhancements in place that we really felt comfortable moving forward.

And it’s interesting, in the “swing trading” time frames, our models tend to follow momentum trading behavior. That is, after a trend establishes, they hop in and try to capture a portion of it.

But for the “day trading” time frames, the opposite seems to be favored. It tends to act on reversals. So this is a completely different tactic–basically looking for smaller bounces to capitalize on.

To do this right, some of our other recent enhancements (stop losses and trailing stops) will be key.

Eventually, yes–it would be great to get this in Auto Trade, but it’ll need to be a stair-step approach.

I envision this as you want to sit down and trade for the next 3 hours. You can pull up our system and watch it as it feeds you data and levels. And hopefully you walk away with some solid profit!