$IN , $LAB , or $TAC — which one do you think has the highest chance for a sharp rebound? 🤔👇
IN -43% heavy red, but deep sell-offs often set up the strongest bounces...
LAB – Down -31% steady drop, watching for a reversal near key support.🔄
TAC -29% holding above lows, could recover if volume returns. 👀
{future}(TACUSDT)
{future}(LABUSDT)
{future}(INUSDT)
guy's short $ETH now
Entry: $1,610 - $1,618 | SL: $1,632 | TP: $1,595 / $1,580 / $1,560
ETH is showing rejection near resistance, and a break below $1,600 could trigger a deeper pullback.
guy's short $BTC now ...
Entry: $59,850 - $60,100 | SL: $60,650 | TP: $59,200 / $58,500 / $57,800
$BTC Price is facing rejection near $60K resistance and could see a pullback if buyers fail to reclaim higher levels.
The part that made me pause wasn’t the automation.
It was the question of control.
While exploring Newton Protocol, I kept wondering: if a trading strategy can act on its own, how do I know it won’t go beyond the limits I’m comfortable with?
That’s where Newton started to make sense to me.
From what I found, the project is built around setting clear rules before an action happens. Limits around risk, fees, exposure, and allocations can be defined in advance, and anything outside those rules ...