Paper Trades / APT / APT — April 2025 (v4.0.1 Pythia)
CURRENT · OMNISCIUS v4.0.1 · PYTHIA

APT Aptos Paper Trade

APT — April 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 12 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

Aptos (APT) is a Layer 1 blockchain built by former members of Meta's Diem project. Using the Move programming language, Aptos focuses on safety, scalability, and user experience. As a newer asset with high institutional backing, APT shows strong trending behavior during market sentiment shifts. Our model tracks its momentum patterns and cross-correlation with other Layer 1 tokens for signal generation.

APT — April 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
10.57
Alpha vs B&H
+33.62pp
Risk / Reward
4.49×
B&H Return
+9.70%
Max Drawdown
-9.66%
Avg Drawdown
-6.77%
Sharpe Trend
+12.60
Model
v4.0.1 Pythia
Full Backtest

Side-by-side: model versions

Same coin, same period, same data window — different model. All walk-forward validated. v4.0.1 (Pythia) is the current production model; v4.0 (Itzamná) confirmed the statistical edge across 46 coins; v2.5 is the legacy baseline.

v4.0.1 PYTHIA THIS PAGE
Return
+43.32%
Win Rate
75.0%
Sharpe
10.57
Alpha vs B&H
+33.62pp
Max DD
-9.66%
Avg DD
-6.77%
Risk / Reward
4.49×
Trades
12
v4.0 ITZAMNÁ
Return
+39.98%
▲ +3.34
Win Rate
78.6%
▼ -3.60
Sharpe
0.00
▲ +10.57
Alpha vs B&H
+0.00pp
▲ +33.62
Max DD
-10.24%
▲ +0.58
Avg DD
0.00%
▼ -6.77
Risk / Reward
0.00×
Trades
11
Open v4.0 page →
V2.5.8.3
Return
+38.20%
▲ +5.12
Win Rate
85.7%
▼ -10.70
Sharpe
0.00
▲ +10.57
Alpha vs B&H
+0.00pp
▲ +33.62
Max DD
-0.12%
▼ -9.54
Avg DD
0.00%
▼ -6.77
Risk / Reward
0.00×
Trades
14
Open page →

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

APT

APT Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +47.4%
15t
+83.1%
15t
+39.2%
14t
+43.3%
12t
+90.7%
11t
+87.9%
17t
+64.8%
13t
+57.2%
12t
+4,896.7%

All months for APT under this model. Click a cell to drill into that month's trade log. Color intensity = magnitude.

Day-by-day — APT — April 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
6
7
-9.7
8
+5.9
9
+10.7
10
11
12
+3.7
13
-0.3
14
15
16
-0.1
17
18
19
+1.0
20
+2.9
21
22
23
+8.4
24
25
+6.0
26
+1.1
27
28
29
+5.3
30
Smart Insights
  • Exceptional return: +43.3% — compound across the full walk-forward window.
  • Healthy win rate: 75.0%.
  • Strongest regime: BULL — avg +3.18% on 2 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
SIDEWAYS 10 70.0% +2.85% +30.51% 23h
BULL 2 100.0% +3.18% +6.41% 16h

Trade Logv4.2 Theros

All 12 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 -9.66% SIDEWAYS 6h
$0.00 $0.00 +5.91% SIDEWAYS 17h
$0.00 $0.00 +10.71% SIDEWAYS 21h
$0.00 $0.00 +3.73% SIDEWAYS 1.5d
$0.00 $0.00 -0.35% SIDEWAYS 12h
$0.00 $0.00 -0.10% SIDEWAYS 3h
$0.00 $0.00 +0.95% SIDEWAYS 2.4d
$0.00 $0.00 +2.90% SIDEWAYS 22h
$0.00 $0.00 +8.37% SIDEWAYS 1.4d
$0.00 $0.00 +5.99% SIDEWAYS 23h
$0.00 $0.00 +1.08% BULL 7h
$0.00 $0.00 +5.27% BULL 1d

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 APT 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 Aptos Smarter

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

75.0% Win Rate +43.3% Return -9.7% Max Drawdown Net of Fees