Hi @wahnker, we get enough questions along this line that I think it would be best to write up an article in more detail. So I’ve added that to the content calendar and we’ll get something that will hopefully be informative.
What I can give you here is, yes, the ML is aware to traditional technical analysis. One of the early steps was to feed it as many TA indicators as possible. Using ML-oriented statistics, it shortlisted the ones that have value. With that basic framework in place, it now regularly adjusts the values for the indicators to best adapt to the market conditions and recent data.
What ends up happening is it generates its own support and resistance lines. These lines oscillate. What you’re seeing with the Trade Meter is the price action moving closer and further from these lines.
And yes, you definitely see different behavior in these triangle-type formations.
You will see the ML open trades when price hits the resistance line (not support). While this can results in several losing trades in a row (as price bounces back down), the math seems to indicate that it’s worth trying in case price *does* break out positively.
The ML seems to have determined the opposite move is risky (trying to trade off of support lines in a consolidating market). Specifically, while you might get a small bounce up, you might also get a big/fast drop down and face an unacceptable loss.
This approach is more akin to momentum trading than reversal trading.
In fact, there was a recent discussion along these lines you can check out here: https://crypto-ml.com/community/topic/ml-bot-is-not-handling-this-chop-well/#post-5599
Overall, I’m very curious to see how the market will play out. It feels like things are weakening quite a bit.
And stay posted for more detail. Does this help give you some additional detail for the time being?