Our experimental AI-bot-analyst traded for exactly two weeks and here is what happened 👇
🚀 2-Week AI Analytics Report
18 – 26 Jun 2025
📈 Portfolio statistics
Signals: 14 (11 LONG | 3 SHORT)
Win-rate (TP1+): 85% — 11 out of 13 closed trades reached the first target
Total result: +8.4 R ≈ +9% to the deposit with a risk of 1% per trade
Average AI-Score: 79%
Average Risk/Reward: 1 : 1.9
🏆 Best trade
• $SOL /USDT #long from 19 Jun → +18% profit (≈ 2 R)
🤕 Worst trade
• $DOGE USDT SHORT from 23 Jun → -1 R (stop as planned)
⏳ Open signal
• $SEI /USDT #short — SL 0.370 $, targets 0.305 / 0.278 $
What we learned in these 2 weeks
Risk management discipline (≤ 1% equity) provides stable growth without “swings and drawdowns”.
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.
🔍 Where next?
The algorithm is already testing new data sets (on-chain, derivatives, social pulse) — the next iteration promises even higher accuracy.
🧠 Full access to AI signals → @CryptoAI_Analysis
💬 Share in the comments which pairs you want to see in focus next week!
— Not a financial recommendation. Trade responsibly.