FETFETFetch.ai$0.189000-2.43%
24h High$0.20
24h Low$0.19
Volume$10.9M
Updated16:58 UTC
Modelv6.2 Pythia
Paper Trades / FET / FET — June 2025 (v4.2 Theros)
LEGACY · v4.2 Theros

FET Fetch.ai Paper Trade

We ran simulated live trades using the AlgoZilla Omniscius v4.2 Theros model for FET - Fetch.ai. The results below give you an overview of the most important Key Performance Indicators, Equity Curve and the Trade Log as simulated by our Pythia model. The returns have been accumulated over the June 2025 period. The simulated paper trades of the model show that an initial investment at the start of the period with 16 trades would have compounded to a final value of $20,971 (from a $10,000 base). All results are net of trading fees based on Bitvavo rates (0.15% entry + 0.25% exit). The model uses a 15‑minute delay on the signal on both entries and exits to simulate possible slippage when executing orders.

v4.2 Theros • 16 Trades • Completed
✓ Walk-forward validated ✓ Net of fees (0.15% / 0.25%)

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.

Performance Price & Trades Trade Stats Day Grid Regimes Trade Log FAQ FET Signals →

FET — June 2025 (v4.2 Theros) Performancev4.2 Theros

Fetch.ai (FET) — clean monthly entry, no carry-over from previous months. Net of trading fees (Bitvavo 0.15% + 0.25%).

Monthly Return
+109.7%
$10,000 →
$20,971
Win Rate
87.5%
14W / 2L
Trades
16
Sharpe
12.68
Alpha vs B&H
+120.41pp
Risk / Reward
99+×
B&H Return
-10.70%
Max Drawdown
-0.58%
Avg Drawdown
-2.84%
Sharpe Trend
-4.90
Model
v4.2 Theros
Full Backtest
View →

Side-by-side: model versions

Same coin, same period, same data window — different model. All walk-forward validated. v5.0 (Kairos) is the current production model (live since 11 May 2026); v4.2 (Theros) was the predecessor; v4.0.1 (Pythia) and v4.0 (Itzamná) confirmed the statistical edge during 2025; v2.5 is the legacy baseline.

v4.0.1 PYTHIA
Return
+60.97%
▲ +48.74
Win Rate
76.9%
▲ +10.58
Sharpe
10.84
▲ +1.84
Alpha vs B&H
+71.67pp
▲ +48.74
Max DD
-2.03%
▲ +1.45
Avg DD
-2.42%
▼ -0.42
Risk / Reward
30.05×
Trades
13
Open v4.0.1 page →
v4.0 ITZAMNÁ
Return
+76.09%
▲ +33.62
Win Rate
54.2%
▲ +33.30
Sharpe
0.00
▲ +12.68
Alpha vs B&H
+0.00pp
▲ +120.41
Max DD
-5.37%
▲ +4.79
Avg DD
0.00%
▼ -2.84
Risk / Reward
0.00×
Trades
13
Open v4.0 page →
V4.2 THEROS THIS PAGE
Return
+109.71%
Win Rate
87.5%
Sharpe
12.68
Alpha vs B&H
+120.41pp
Max DD
-0.58%
Avg DD
-2.84%
Risk / Reward
99+×
Trades
16

Δ-arrows on the counterpart cards show this page minus that version. Higher return / WR = better; smaller (less negative) Max DD = better.

Day-by-day — FET — June 2025 (v4.2 Theros) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
+5.2
2
—
3
+14.0
4
—
5
—
6
+3.3
7
+5.0
8
—
9
—
10
+12.4
11
—
12
—
13
-1.2
14
+1.8
15
—
16
+6.4
17
—
18
—
19
+6.9
20
+3.5
21
—
22
—
23
+6.7
24
+13.4
25
—
26
—
27
—
28
+0.8
29
—
30
—

Price & trade markersv4.2 Theros

1H candles for FET over the test window with every entry (▲ green up-arrow) and exit (▼ green = profitable, ▼ red = loss). Hover a marker for trade details.

Loading 1H candles…
▲ Entry ▼ Profit exit ▼ Loss exit Powered by TradingView Lightweight Charts

Trade statisticsv4.2 Theros

Aggregates derived from the full 16-trade log of this period.

Avg Win
+5.64%
Avg Loss
-0.59%
Best Trade
+13.96%
Worst Trade
-0.76%
Avg Bars Held
17.6h
Exit-reason mix (hover badges for details)
Forward-pred: 9 (56%) Signal flip: 6 (38%) Short signal: 1 (6%)
Smart Insights
  • ↑ Exceptional return: +109.7% — compound across the full walk-forward window.
  • ↑ High win rate: 87.5% — 4 in 5 trades close in profit.
  • ↑ Tight risk control: max drawdown only -0.6%.
  • ↑ Strongest regime: SIDEWAYS — avg +8.05% on 4 trades, WR 100%.

Per-regime Breakdownv4.2 Theros

How the model performs across the 4 market regimes detected by Omniscius.

Regime Trades Win Rate Avg PnL Compounded Return Avg Hold
BULL 7 100.0% +5.70% +46.69% 24h
SIDEWAYS 4 100.0% +8.05% +35.94% 18h
BUBBLE 5 60.0% +1.15% +5.82% 8h

Trade Logv4.2 Theros

All 16 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
01 Jun 2025 02:00 01 Jun 2025 16:00 $0.74 $0.77 +3.79% BUBBLE 15h
01 Jun 2025 19:00 01 Jun 2025 23:00 $0.75 $0.76 +1.32% BUBBLE 5h
02 Jun 2025 12:00 03 Jun 2025 17:00 $0.73 $0.83 +13.96% BULL 1.3d
06 Jun 2025 00:00 06 Jun 2025 13:00 $0.72 $0.75 +3.33% BULL 14h
07 Jun 2025 02:00 07 Jun 2025 13:00 $0.73 $0.77 +5.02% BULL 12h
09 Jun 2025 01:00 10 Jun 2025 11:00 $0.74 $0.82 +9.66% BULL 1.5d
10 Jun 2025 15:00 10 Jun 2025 20:00 $0.79 $0.82 +2.48% SIDEWAYS 6h
13 Jun 2025 03:00 13 Jun 2025 06:00 $0.66 $0.66 -0.41% BUBBLE 4h
13 Jun 2025 08:00 13 Jun 2025 10:00 $0.66 $0.66 -0.76% BUBBLE 3h
13 Jun 2025 13:00 14 Jun 2025 02:00 $0.66 $0.67 +1.82% BUBBLE 14h
15 Jun 2025 20:00 16 Jun 2025 13:00 $0.69 $0.73 +6.41% BULL 18h
18 Jun 2025 02:00 19 Jun 2025 09:00 $0.66 $0.70 +6.88% BULL 1.3d
20 Jun 2025 05:00 20 Jun 2025 11:00 $0.67 $0.69 +3.48% BULL 7h
22 Jun 2025 17:00 23 Jun 2025 13:00 $0.57 $0.61 +6.72% SIDEWAYS 21h
23 Jun 2025 15:00 24 Jun 2025 00:00 $0.61 $0.69 +13.35% SIDEWAYS 10h
26 Jun 2025 04:00 28 Jun 2025 10:00 $0.66 $0.67 +0.79% SIDEWAYS 2.3d

Frequently Asked Questions

What is a paper trade?

A paper trade simulates real signal execution without real money. Each period starts fresh with a clean $10,000 allocation — no carry-over from previous windows. This shows exactly what would have happened if you started following signals on day one of that window. 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.

Get Started → FET Signals → View Plans →
87.5% Win Rate +109.7% Return -0.6% Max Drawdown Net of Fees