FETFETFetch.ai$0.186400-4.80%
24h High$0.20
24h Low$0.19
Volume$11.3M
Updated18:03 UTC
Modelv6.2 Pythia
Paper Trades / FET / FET — August 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 August 2025 period. The simulated paper trades of the model show that an initial investment at the start of the period with 9 trades would have compounded to a final value of $14,480 (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 • 9 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 — August 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
+44.8%
$10,000 →
$14,480
Win Rate
77.8%
7W / 2L
Trades
9
Sharpe
7.04
Alpha vs B&H
+46.59pp
Risk / Reward
15.09×
B&H Return
-1.79%
Max Drawdown
-2.97%
Avg Drawdown
-2.10%
Sharpe Trend
-6.06
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
+46.27%
▼ -1.47
Win Rate
100.0%
▼ -22.22
Sharpe
7.62
▼ -0.58
Alpha vs B&H
+48.06pp
▼ -1.47
Max DD
0.00%
▼ -2.97
Avg DD
-2.19%
▲ +0.09
Risk / Reward
99+×
Trades
7
Open v4.0.1 page →
V4.2 THEROS THIS PAGE
Return
+44.80%
Win Rate
77.8%
Sharpe
7.04
Alpha vs B&H
+46.59pp
Max DD
-2.97%
Avg DD
-2.10%
Risk / Reward
15.09×
Trades
9

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 — August 2025 (v4.2 Theros) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
—
2
—
3
—
4
+5.2
5
—
6
—
7
—
8
—
9
+11.5
10
—
11
—
12
—
13
—
14
+8.6
15
—
16
—
17
—
18
—
19
—
20
—
21
+2.3
22
+6.6
23
-2.8
24
—
25
—
26
—
27
+3.5
28
—
29
—
30
+1.5
31
—

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 9-trade log of this period.

Avg Win
+5.63%
Avg Loss
-1.56%
Best Trade
+11.54%
Worst Trade
-2.84%
Avg Bars Held
30.0h
Exit-reason mix (hover badges for details)
Signal flip: 5 (56%) Forward-pred: 4 (44%)
Smart Insights
  • ↑ Exceptional return: +44.8% — compound across the full walk-forward window.
  • ↑ Healthy win rate: 77.8%.
  • ↑ Tight risk control: max drawdown only -3.0%.
  • ↑ Strongest regime: BULL — avg +7.47% on 3 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 3 100.0% +7.47% +23.88% 2.3d
SIDEWAYS 6 66.7% +2.32% +14.38% 18h

Trade Logv4.2 Theros

All 9 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
03 Aug 2025 02:00 04 Aug 2025 17:00 $0.63 $0.66 +5.17% SIDEWAYS 1.7d
05 Aug 2025 21:00 09 Aug 2025 12:00 $0.64 $0.72 +11.54% BULL 3.7d
12 Aug 2025 01:00 14 Aug 2025 02:00 $0.70 $0.76 +8.59% BULL 2.1d
20 Aug 2025 01:00 21 Aug 2025 01:00 $0.67 $0.69 +2.28% BULL 1d
22 Aug 2025 01:00 22 Aug 2025 17:00 $0.66 $0.71 +6.85% SIDEWAYS 17h
22 Aug 2025 19:00 22 Aug 2025 20:00 $0.71 $0.71 -0.27% SIDEWAYS 2h
23 Aug 2025 00:00 23 Aug 2025 02:00 $0.70 $0.68 -2.84% SIDEWAYS 3h
25 Aug 2025 21:00 27 Aug 2025 08:00 $0.62 $0.64 +3.45% SIDEWAYS 1.5d
30 Aug 2025 02:00 30 Aug 2025 10:00 $0.61 $0.63 +1.54% SIDEWAYS 9h

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 →
77.8% Win Rate +44.8% Return -3.0% Max Drawdown Net of Fees