Fetch.ai Paper Trade
FET — April 2026 — Simulated live trading results using the v2.5.8.3 model.
v2.5.8.3
•
6 Trades
•
Active
Fetch.ai (FET) combines artificial intelligence with blockchain to create autonomous economic agents that perform tasks on behalf of users. As an AI-crypto narrative leader, FET price is heavily influenced by AI sector sentiment and technology developments. The token shows strong momentum during AI hype cycles and has distinct trading patterns that diverge from the broader market during narrative shifts.
FET — April 2026 Performance
Fetch.ai (FET) — clean monthly entry, no carry-over from previous months. Net of trading fees (Bitvavo 0.15% + 0.25%).
Monthly Return
+12.1%
€10,000 →
€11,209
Win Rate
100.0%
6W / 0L
Trades
6
Trade Log
All 6 trades executed during this paper trade period.
| Entry | Exit | Entry Price | Exit Price | PnL | Regime | Duration |
|---|---|---|---|---|---|---|
| 02 Apr 2026 12:00 | 03 Apr 2026 14:00 | $0.23 | $0.24 | +6.45% | BEAR | 1.1d |
| 05 Apr 2026 09:00 | 06 Apr 2026 00:00 | $0.23 | $0.24 | +6.72% | BEAR | 16h |
| 06 Apr 2026 22:00 | 07 Apr 2026 17:00 | $0.23 | $0.23 | +1.64% | BEAR | 20h |
| 09 Apr 2026 03:00 | 09 Apr 2026 16:00 | $0.23 | $0.25 | +4.78% | BEAR | 14h |
| 10 Apr 2026 12:00 | 11 Apr 2026 09:00 | $0.23 | $0.24 | +1.13% | BEAR | 22h |
| 13 Apr 2026 01:00 | 13 Apr 2026 22:00 | $0.23 | $0.24 | +2.40% | BEAR | 22h |
Frequently Asked Questions
What is a paper trade?
A paper trade simulates real signal execution without real money. Each month starts fresh with a clean €10,000 allocation — no carry-over from previous months. This shows exactly what would have happened if you started following signals on day one of that month. View live FET signals →
Are trading fees included?
Yes. All results are net of trading fees based on Bitvavo rates (0.15% entry + 0.25% exit). No slippage is applied. Trading via Bitget (0.1%/0.1%) would improve returns.
How does this relate to the backtest?
Paper trades use the same model and signals as the full backtest. The difference: backtests cover years of data across multiple market cycles, while paper trades show month-by-month performance in recent market conditions. Together they provide a complete picture.
Is the model retrained during the month?
Yes. The Omniscius model is retrained bi-weekly, which means paper trade results reflect the exact same model updates that live subscribers receive. This is not a static backtest — it is a living simulation. Learn about Omniscius →
Start Trading Fetch.ai Smarter
These paper trade results show what our model delivers. Get real-time FET signals with entry, stop-loss, and take-profit on every trade.
100.0% Win Rate
+12.1% Return
Net of Fees
Free Plan Available
