Paper Trades / ALICE / ALICE — June 2025 (v4.0.1 Pythia)
CURRENT · OMNISCIUS v4.0.1 · PYTHIA

ALICE My Neighbor Alice Paper Trade

ALICE — June 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia • 10 Trades • Completed
✓ Walk-forward validated ✓ Backtest = Live (bit-identical) ✓ Net of fees (0.15% / 0.25%) ✓ Forward-look-bias audited

My Neighbor Alice (ALICE) is a multiplayer social game built on blockchain, where players own virtual islands, build, and trade in-game assets. Listed via Binance Launchpad in March 2021 with multi-cycle history including the 2021 gaming-NFT boom. Price action correlates with broader gaming-NFT cycles and periodic in-game-event catalysts.

Performance Monthly Calendar Day Grid Regimes Trade Log FAQ ALICE Signals →

ALICE — June 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Monthly Return
+40.6%
€10,000 →
€14,058
Win Rate
70.0%
7W / 3L
Trades
10
Sharpe
10.85
Alpha vs B&H
+45.00pp
Risk / Reward
8.26×
B&H Return
-4.43%
Max Drawdown
-4.91%
Avg Drawdown
-4.38%
Sharpe Trend
+1.26
Model
v4.0.1 Pythia
Full Backtest
View →

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
+40.58%
Win Rate
70.0%
Sharpe
10.85
Alpha vs B&H
+45.00pp
Max DD
-4.91%
Avg DD
-4.38%
Risk / Reward
8.26×
Trades
10
v4.0 ITZAMNÁ
Return
+36.68%
▲ +3.90
Win Rate
75.6%
▼ -5.60
Sharpe
0.00
▲ +10.85
Alpha vs B&H
+0.00pp
▲ +45.00
Max DD
-5.75%
▲ +0.84
Avg DD
0.00%
▼ -4.38
Risk / Reward
0.00×
Trades
10
Open v4.0 page →
V2.5.8.3
Return
+29.61%
▲ +10.97
Win Rate
90.0%
▼ -20.00
Sharpe
0.00
▲ +10.85
Alpha vs B&H
+0.00pp
▲ +45.00
Max DD
-0.26%
▼ -4.65
Avg DD
0.00%
▼ -4.38
Risk / Reward
0.00×
Trades
10
Open page →

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

ALICE

ALICE Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +81.3%
15t
 		+101.1%
15t
 		+58.2%
13t
 		+98.8%
14t
 		+83.7%
15t
 		+40.6%
10t
 		+128.0%
16t
 		+65.6%
15t
—
—
—
—
 +11,069.2%

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

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
-1.8
2
-3.2
3
+1.5
4
—
5
—
6
—
7
+9.6
8
—
9
—
10
+8.3
11
—
12
—
13
—
14
—
15
—
16
+2.4
17
—
18
—
19
-1.3
20
—
21
—
22
—
23
—
24
+12.3
25
—
26
—
27
—
28
—
29
—
30
+4.8
Smart Insights
  • ↑ Exceptional return: +40.6% — compound across the full walk-forward window.
  • ↑ Healthy win rate: 70.0%.
  • ↑ Strongest regime: SIDEWAYS — avg +10.31% 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 2 100.0% +10.31% +21.64% 1.5d
BULL 7 71.4% +1.98% +14.13% 1.1d
BUBBLE 1 0.0% -1.76% -1.76% 7h

Trade Logv4.2 Theros

All 10 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 -1.76% BUBBLE 7h
$0.00 $0.00 -3.21% BULL 13h
$0.00 $0.00 +1.47% BULL 15h
$0.00 $0.00 +9.63% BULL 1.5d
$0.00 $0.00 +8.31% SIDEWAYS 1.7d
$0.00 $0.00 +2.44% BULL 1.3d
$0.00 $0.00 -1.27% BULL 2.2d
$0.00 $0.00 +12.31% SIDEWAYS 1.4d
$0.00 $0.00 +4.44% BULL 1d
$0.00 $0.00 +0.35% BULL 7h

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 ALICE 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 My Neighbor Alice Smarter

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

Get Started → ALICE Signals → View Plans →
70.0% Win Rate +40.6% Return -4.9% Max Drawdown Net of Fees