Our experimental AI-bot-analyst traded for exactly two weeks and here is what happened š
š 2-Week AI Analytics Report
18 ā 26 Jun 2025
š Portfolio statistics
Signals: 14 (11 LONG | 3 SHORT)
Win-rate (TP1+): 85% ā 11 out of 13 closed trades reached the first target
Total result: +8.4 R ā +9% to the deposit with a risk of 1% per trade
Average AI-Score: 79%
Average Risk/Reward: 1 : 1.9
š Best trade
ā¢
$SOL /USDT
#long from 19 Jun ā +18% profit (ā 2 R)
š¤ Worst trade
ā¢
$DOGE USDT SHORT from 23 Jun ā -1 R (stop as planned)
ā³ Open signal
ā¢
$SEI /USDT
#short ā SL 0.370 $, targets 0.305 / 0.278 $
What we learned in these 2 weeks
Risk management discipline (⤠1% equity) provides stable growth without āswings and drawdownsā.
AI scoring > 80% proved to be a reliable filter: 7 out of 8 such signals closed in plus.
Cascade profit taking (TP1, then trailing) improved the final R by almost 20%.
Mix of time frames (scalp confirmation + higher-TF trend) reduced the number of false entries.
š Where next?
The algorithm is already testing new data sets (on-chain, derivatives, social pulse) ā the next iteration promises even higher accuracy.
š§ Full access to AI signals ā @CryptoAI_Analysis
š¬ Share in the comments which pairs you want to see in focus next week!
ā Not a financial recommendation. Trade responsibly.
#AITrading #CryptoSigna #pnl