The System Sold Without Me — Trailing Stop's First Live Trigger
April 15, 2:51 PM. Samsung Electronics was sold automatically.
I wasn’t watching the screen. The system tracked the peak, detected the pullback, and placed the order when price dropped 2% from the high. Exit at ₩210,750. Return: +3.57%.
This Strategy Was Designed with AI
The trailing stop wasn’t designed by me alone. I worked with AI to set the direction — what conditions should activate it, where to set the exit threshold. I received suggestions, made the judgment calls, and approved the approach. AI implemented the code. My role is to verify that it behaves as intended. That’s exactly what this phase is.
Compared It Against Fixed Take-Profit
I ran the comparison that day. With a fixed +6% take-profit, the target line for Samsung Electronics would have been ₩215,445 — a level it never reached. I would have been sitting through the decline, still holding.
The trailing stop tracked the high and sold into the pullback, capturing +3.57%.
To be precise: the trailing stop didn’t capture more. It didn’t miss what was there to capture.
Too Early to Draw Conclusions
In a weak-trend stock, the result might look different. Right now I’m watching whether the strategy is working correctly — and this one instance moved in the right direction.
The system did its job without my intervention. That’s what this week confirmed.
What to watch next: Which stocks the trailing stop exits, at what prices, in the expanded 20-stock universe.
Reader question: When running an automated trading system, do you use a fixed take-profit or a trailing exit? What criteria drove that choice?