AAVEAAVEAave$74.9000+3.13%
24h High$76.15
24h Low$71.83
Volume$5.4M
Updated16:53 UTC
Modelv6.2 Pythia
Paper Trades / AAVE / AAVE — January 2025 (v4.2 Theros)
LEGACY · v4.2 Theros

AAVE Aave Paper Trade

We ran simulated live trades using the AlgoZilla Omniscius v4.2 Theros model for AAVE - Aave. 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 January 2025 period. The simulated paper trades of the model show that an initial investment at the start of the period with 15 trades would have compounded to a final value of $24,369 (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 • 15 Trades • Completed
✓ Walk-forward validated ✓ Net of fees (0.15% / 0.25%)

Aave (AAVE) is the governance token of the Aave protocol, one of the largest decentralized lending platforms in DeFi. Users can lend and borrow cryptocurrency without intermediaries. AAVE price is closely tied to DeFi activity, total value locked, and Ethereum ecosystem health. Its strong correlation with ETH combined with DeFi-specific catalysts creates trading opportunities that our model captures through multi-feature analysis.

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

AAVE — January 2025 (v4.2 Theros) Performancev4.2 Theros

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

Monthly Return
+143.7%
$10,000 →
$24,369
Win Rate
93.3%
14W / 1L
Trades
15
Sharpe
14.12
Alpha vs B&H
+148.27pp
Risk / Reward
99+×
B&H Return
-4.58%
Max Drawdown
-0.70%
Avg Drawdown
-5.09%
Sharpe Trend
+1.74
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
+130.15%
▲ +13.54
Win Rate
93.3%
≈
Sharpe
13.21
▲ +0.91
Alpha vs B&H
+134.73pp
▲ +13.54
Max DD
-0.70%
≈
Avg DD
-5.29%
▲ +0.20
Risk / Reward
99+×
Trades
15
Open v4.0.1 page →
v4.0 ITZAMNÁ
Return
+101.03%
▲ +42.66
Win Rate
92.9%
▲ +0.43
Sharpe
0.00
▲ +14.12
Alpha vs B&H
+0.00pp
▲ +148.27
Max DD
-6.27%
▲ +5.57
Avg DD
0.00%
▼ -5.09
Risk / Reward
0.00×
Trades
14
Open v4.0 page →
V4.2 THEROS THIS PAGE
Return
+143.69%
Win Rate
93.3%
Sharpe
14.12
Alpha vs B&H
+148.27pp
Max DD
-0.70%
Avg DD
-5.09%
Risk / Reward
99+×
Trades
15

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
—
2
—
3
—
4
—
5
—
6
—
7
—
8
—
9
+5.7
10
+1.9
11
—
12
+1.9
13
—
14
+14.2
15
+10.5
16
—
17
+9.2
18
-0.7
19
+12.3
20
+8.7
21
+7.4
22
—
23
—
24
+6.5
25
—
26
—
27
+3.0
28
—
29
+2.9
30
—
31
+10.7

Price & trade markersv4.2 Theros

1H candles for AAVE 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 15-trade log of this period.

Avg Win
+6.78%
Avg Loss
-0.70%
Best Trade
+14.22%
Worst Trade
-0.70%
Avg Bars Held
17.9h
Exit-reason mix (hover badges for details)
Forward-pred: 10 (67%) Signal flip: 4 (27%) Trailing stop: 1 (7%)
Smart Insights
  • ↑ Exceptional return: +143.7% — compound across the full walk-forward window.
  • ↑ High win rate: 93.3% — 4 in 5 trades close in profit.
  • ↑ Tight risk control: max drawdown only -0.7%.
  • ↑ Strongest regime: BULL — avg +8.94% 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
BUBBLE 11 90.9% +5.31% +75.27% 13h
BULL 4 100.0% +8.94% +40.38% 1.3d

Trade Logv4.2 Theros

All 15 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
08 Jan 2025 13:00 09 Jan 2025 01:00 $294.12 $297.44 +0.72% BUBBLE 13h
09 Jan 2025 14:00 09 Jan 2025 16:00 $277.09 $291.14 +4.97% BUBBLE 3h
10 Jan 2025 05:00 10 Jan 2025 07:00 $291.47 $297.40 +1.93% BUBBLE 3h
10 Jan 2025 20:00 12 Jan 2025 11:00 $285.37 $291.13 +1.92% BUBBLE 1.7d
13 Jan 2025 10:00 14 Jan 2025 22:00 $262.40 $300.02 +14.22% BULL 1.5d
15 Jan 2025 11:00 15 Jan 2025 18:00 $287.99 $318.44 +10.46% BULL 8h
16 Jan 2025 08:00 17 Jan 2025 22:00 $306.97 $335.44 +9.17% BULL 1.6d
18 Jan 2025 11:00 18 Jan 2025 14:00 $315.56 $313.65 -0.70% BUBBLE 4h
19 Jan 2025 09:00 19 Jan 2025 16:00 $303.10 $341.77 +12.30% BUBBLE 8h
20 Jan 2025 05:00 20 Jan 2025 14:00 $322.44 $351.00 +8.75% BUBBLE 10h
21 Jan 2025 03:00 21 Jan 2025 20:00 $346.16 $372.18 +7.41% BUBBLE 18h
23 Jan 2025 18:00 24 Jan 2025 12:00 $331.70 $353.45 +6.45% BUBBLE 19h
27 Jan 2025 08:00 27 Jan 2025 21:00 $294.30 $303.39 +2.99% BUBBLE 14h
28 Jan 2025 21:00 29 Jan 2025 13:00 $282.79 $291.40 +2.90% BUBBLE 17h
30 Jan 2025 02:00 31 Jan 2025 12:00 $296.76 $328.79 +10.68% BUBBLE 1.5d

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 AAVE 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 Aave Smarter

These paper trade results show what our model delivers. Get real-time AAVE signals with entry, stop-loss, and take-profit on every trade.

Get Started → AAVE Signals → View Plans →
93.3% Win Rate +143.7% Return -0.7% Max Drawdown Net of Fees