Built New AI trading models and after a week of data have made 37%
You might’ve seen my post a few weeks back... I was averaging around $40/day off an $800 account.
It’s still running, just a bit more stable now at around $27/day.
Lately I’ve stopped trying to push returns higher and instead focused on improving the system itself.
Been testing a few things:
- Tracking performance by narrative (AI, L2, privacy, etc.)
- Time-of-day weighting to see when trades actually work
- Switching to ATR-based TP/SL instead of fixed %
- Giving more weight to recent trades vs older ones
👉 The biggest surprise:
Tracking by narrative has outperformed everything else.
It kind of confirms something I’ve been building around:
Capital flows into narratives first… then into individual coins.
So now the system isn’t just:
scan then trade
It’s starting to look more like:
- narrative-aware scanning
- structured execution
- layered exits
- restart-safe handling
- portfolio-level risk controls
Basically moving from a “strategy” to an actual system.
I’ve documented the full structure + code if anyone’s interested.
Curious what others are seeing .. especially whether you’re finding more edge in narrative rotation vs pure technical setups.