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jevIMAGE

交易 bot 实测:Jev 每 60 秒判 HOLD / SCALE / EXIT

Jev 每 60 秒读价格路径、买卖压力、聪明钱离场和流动性,对每个仓位给出持有、部分止盈或全平;38 小时内 Jev 仓位均 +10.7%,机械追踪止盈 +0.6%,也记录了不设硬止损导致回撤更深的问题。

VIBE Giraffe
@Vibe_AI_dev8 天前收录原推发布于 2026.10.19
交易 bot 实测:Jev 每 60 秒判 HOLD / SCALE / EXIT
VIBE Giraffe @Vibe_AI_dev原推发布于 2026.10.19
在 X 上打开原推

After the rain comes sun. $VIBE desition trader back on green measure across all strategies combined what exit staretegy works best? AI decide exit got v3 improvment update and results are good so far . How ai brain exit works ? Jev reads the market every 60 seconds and makes one of three calls: HOLD, SCALE (bank a slice, ride the rest) EXIT (close it all) what he actually sees every cycle on every position: • the full price path since entry, peak & trough • buy/sell pressure + volume shifts • smart money wallet departures • liquidity changes • reference levels from our mechanical books yesterday the desk fired 231 exits across 17 books running 5 different strategies on the same signals: 94 stop-losses. 70 trails. 59 AI decisions to hold the line. and 3 scale-outs where Jev banked +92% and +93% of a position at the local top — the first live scale events of the build. the 38-hour scoreboard, same feed, same entries: • Jev's book: +10.7% average per trade. the best of all 12 strategy-size combos • mechanical trailing: +0.6% • fixed take-profit books: +1.9% • patient 48h holds: −8.0% the honest part: when a token dumped -71%, Jev's no-clamp design rode it deeper than the -30% stops would have. that trade-off is real, it's recorded, and it feeds back into the next model iteration. every decision archived. every outcome scored. the data decides what he becomes next. this is the experiment: can a model manage positions better than fixed rules with receipts? Jev trader @VIBEaiRforce is in Beta join for free at your own risk: http://vibe.airforce/jev-trader

这条是引用着另一条写的:x.com/vibe_ai_dev/status/2112120902171189731

x.com/vibe_ai_dev/status/2112180006457663754采集于 2026.10.20 10:07