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

ALICE My Neighbor Alice Paper Trade

ALICE — May 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

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.

ALICE — May 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%).

Sharpe
12.72
Alpha vs B&H
+90.18pp
Risk / Reward
95.66×
B&H Return
-6.52%
Max Drawdown
-0.87%
Avg Drawdown
-4.39%
Sharpe Trend
-1.02
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
+83.66%
Win Rate
93.3%
Sharpe
12.72
Alpha vs B&H
+90.18pp
Max DD
-0.87%
Avg DD
-4.39%
Risk / Reward
95.66×
Trades
15
v4.0 ITZAMNÁ
Return
+86.06%
▼ -2.40
Win Rate
100.0%
▼ -6.67
Sharpe
0.00
▲ +12.72
Alpha vs B&H
+0.00pp
▲ +90.18
Max DD
-5.33%
▲ +4.46
Avg DD
0.00%
▼ -4.39
Risk / Reward
0.00×
Trades
14
Open v4.0 page →
V2.5.8.3
Return
+45.23%
▲ +38.43
Win Rate
92.9%
▲ +0.43
Sharpe
0.00
▲ +12.72
Alpha vs B&H
+0.00pp
▲ +90.18
Max DD
-0.37%
▼ -0.50
Avg DD
0.00%
▼ -4.39
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.

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 — May 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
6
+1.1
7
+2.6
8
9
+17.8
10
+3.8
11
12
+1.4
13
14
+5.5
15
+5.5
16
17
18
+3.5
19
-0.9
20
+4.8
21
+6.0
22
+0.9
23
24
25
26
+2.1
27
+1.4
28
29
+3.4
30
31
Smart Insights
  • Exceptional return: +83.7% — 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 -0.9%.
  • Strongest regime: BULL — avg +5.39% on 7 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 7 100.0% +5.39% +43.16% 19h
BUBBLE 8 87.5% +2.66% +23.14% 15h

Trade Logv4.2 Theros

All 15 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +1.08% BULL 8h
$0.00 $0.00 +2.62% BULL 15h
$0.00 $0.00 +17.79% BULL 1.5d
$0.00 $0.00 +3.79% BULL 18h
$0.00 $0.00 +1.42% BULL 18h
$0.00 $0.00 +5.54% BULL 1.3d
$0.00 $0.00 +5.47% BULL 8h
$0.00 $0.00 +3.48% BUBBLE 7h
$0.00 $0.00 -0.87% BUBBLE 4h
$0.00 $0.00 +4.82% BUBBLE 17h
$0.00 $0.00 +5.98% BUBBLE 22h
$0.00 $0.00 +0.92% BUBBLE 18h
$0.00 $0.00 +2.14% BUBBLE 1.6d
$0.00 $0.00 +1.37% BUBBLE 10h
$0.00 $0.00 +3.42% BUBBLE 4h

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.

93.3% Win Rate +83.7% Return -0.9% Max Drawdown Net of Fees