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

ALICE My Neighbor Alice Paper Trade

ALICE — 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

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 — January 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
12.63
Alpha vs B&H
+106.37pp
Risk / Reward
99+×
B&H Return
-25.03%
Max Drawdown
-0.60%
Avg Drawdown
-4.74%
Sharpe Trend
+10.45
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
+81.34%
Win Rate
80.0%
Sharpe
12.63
Alpha vs B&H
+106.37pp
Max DD
-0.60%
Avg DD
-4.74%
Risk / Reward
99+×
Trades
15
v4.0 ITZAMNÁ
Return
+64.38%
▲ +16.96
Win Rate
78.6%
▲ +1.40
Sharpe
0.00
▲ +12.63
Alpha vs B&H
+0.00pp
▲ +106.37
Max DD
-5.98%
▲ +5.38
Avg DD
0.00%
▼ -4.74
Risk / Reward
0.00×
Trades
15
Open v4.0 page →
V2.5.8.3
Return
+45.36%
▲ +35.98
Win Rate
61.1%
▲ +18.90
Sharpe
0.00
▲ +12.63
Alpha vs B&H
+0.00pp
▲ +106.37
Max DD
-0.37%
▼ -0.23
Avg DD
0.00%
▼ -4.74
Risk / Reward
0.00×
Trades
18
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 — January 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
6
+0.1
7
8
9
-0.3
10
11
+1.9
12
-1.2
13
14
15
16
+13.8
17
+3.4
18
19
+7.9
20
+7.5
21
+7.2
22
23
24
+4.1
25
26
+2.9
27
+5.7
28
29
30
+11.0
31
+0.3
Smart Insights
  • Exceptional return: +81.3% — 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 -0.6%.
  • Strongest regime: BUBBLE — avg +4.64% on 10 trades, WR 90%.

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 10 90.0% +4.64% +56.42% 15h
BULL 5 60.0% +3.58% +18.43% 1.1d

Trade Logv4.2 Theros

All 15 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +0.13% BUBBLE 5h
$0.00 $0.00 -0.32% BUBBLE 12h
$0.00 $0.00 +1.88% BULL 1.5d
$0.00 $0.00 -1.21% BULL 7h
$0.00 $0.00 +14.20% BULL 2.8d
$0.00 $0.00 -0.31% BULL 7h
$0.00 $0.00 +3.36% BULL 11h
$0.00 $0.00 +7.85% BUBBLE 4h
$0.00 $0.00 +7.50% BUBBLE 4h
$0.00 $0.00 +7.20% BUBBLE 17h
$0.00 $0.00 +4.07% BUBBLE 21h
$0.00 $0.00 +2.91% BUBBLE 24h
$0.00 $0.00 +5.73% BUBBLE 14h
$0.00 $0.00 +11.00% BUBBLE 1.8d
$0.00 $0.00 +0.32% BUBBLE 3h

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.

80.0% Win Rate +81.3% Return -0.6% Max Drawdown Net of Fees