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

APT Aptos Paper Trade

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

v4.0.1 Pythia 15 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 — January 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
9.82
Alpha vs B&H
+68.82pp
Risk / Reward
18.47×
B&H Return
-21.46%
Max Drawdown
-2.56%
Avg Drawdown
-4.54%
Sharpe Trend
+8.67
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
+47.37%
Win Rate
80.0%
Sharpe
9.82
Alpha vs B&H
+68.82pp
Max DD
-2.56%
Avg DD
-4.54%
Risk / Reward
18.47×
Trades
15
v4.0 ITZAMNÁ
Return
+53.43%
▼ -6.06
Win Rate
78.6%
▲ +1.40
Sharpe
0.00
▲ +9.82
Alpha vs B&H
+0.00pp
▲ +68.82
Max DD
-4.76%
▲ +2.20
Avg DD
0.00%
▼ -4.54
Risk / Reward
0.00×
Trades
14
Open v4.0 page →
V2.5.8.3
Return
+59.84%
▼ -12.47
Win Rate
84.2%
▼ -4.20
Sharpe
0.00
▲ +9.82
Alpha vs B&H
+0.00pp
▲ +68.82
Max DD
-0.09%
▼ -2.47
Avg DD
0.00%
▼ -4.54
Risk / Reward
0.00×
Trades
19
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 — January 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
-0.4
6
-0.5
7
8
-1.7
9
+2.7
10
11
+1.9
12
13
+2.5
14
15
16
+5.5
17
+2.4
18
19
+4.0
20
+7.2
21
22
+6.5
23
24
+1.7
25
26
27
+7.7
28
29
+1.9
30
31
+1.9
Smart Insights
  • Exceptional return: +47.4% — compound across the full walk-forward window.
  • High win rate: 80.0% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -2.6%.
  • Strongest regime: BULL — avg +3.05% 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
BUBBLE 11 72.7% +2.83% +35.21% 11h
BULL 4 100.0% +3.05% +12.72% 1.1d

Trade Logv4.2 Theros

All 15 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 -0.41% BUBBLE 6h
$0.00 $0.00 -0.51% BUBBLE 6h
$0.00 $0.00 -1.67% BUBBLE 11h
$0.00 $0.00 +2.70% BUBBLE 3h
$0.00 $0.00 +1.86% BULL 1.3d
$0.00 $0.00 +2.50% BULL 10h
$0.00 $0.00 +5.48% BULL 1.9d
$0.00 $0.00 +2.35% BULL 18h
$0.00 $0.00 +4.02% BUBBLE 3h
$0.00 $0.00 +7.16% BUBBLE 5h
$0.00 $0.00 +6.54% BUBBLE 20h
$0.00 $0.00 +1.73% BUBBLE 16h
$0.00 $0.00 +7.72% BUBBLE 13h
$0.00 $0.00 +1.91% BUBBLE 17h
$0.00 $0.00 +1.89% BUBBLE 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.

80.0% Win Rate +47.4% Return -2.6% Max Drawdown Net of Fees