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

ALICE My Neighbor Alice Paper Trade

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

v4.0.1 Pythia 13 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 — March 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
9.92
Alpha vs B&H
+86.68pp
Risk / Reward
25.80×
B&H Return
-28.51%
Max Drawdown
-2.25%
Avg Drawdown
-4.59%
Sharpe Trend
-14.69
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
+58.17%
Win Rate
76.9%
Sharpe
9.92
Alpha vs B&H
+86.68pp
Max DD
-2.25%
Avg DD
-4.59%
Risk / Reward
25.80×
Trades
13
v4.0 ITZAMNÁ
Return
+57.89%
▲ +0.28
Win Rate
73.8%
▲ +3.12
Sharpe
0.00
▲ +9.92
Alpha vs B&H
+0.00pp
▲ +86.68
Max DD
-5.74%
▲ +3.49
Avg DD
0.00%
▼ -4.59
Risk / Reward
0.00×
Trades
13
Open v4.0 page →
V2.5.8.3
Return
+27.93%
▲ +30.24
Win Rate
55.6%
▲ +21.32
Sharpe
0.00
▲ +9.92
Alpha vs B&H
+0.00pp
▲ +86.68
Max DD
-0.93%
▼ -1.32
Avg DD
0.00%
▼ -4.59
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 — March 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
+12.3
4
5
6
+9.7
7
+2.3
8
9
10
-0.4
11
12
+4.7
13
-1.0
14
15
+2.3
16
17
+5.8
18
19
+6.2
20
21
22
23
+1.5
24
25
+7.0
26
27
28
29
30
-2.3
31
+0.7
Smart Insights
  • Exceptional return: +58.2% — compound across the full walk-forward window.
  • Healthy win rate: 76.9%.
  • Tight risk control: max drawdown only -2.3%.
  • Strongest regime: SIDEWAYS — avg +3.05% on 12 trades, WR 75%.

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 12 75.0% +3.05% +42.47% 24h
BEAR 1 100.0% +12.31% +12.31% 23h

Trade Logv4.2 Theros

All 13 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +12.31% BEAR 23h
$0.00 $0.00 +9.70% SIDEWAYS 1.6d
$0.00 $0.00 +2.33% SIDEWAYS 18h
$0.00 $0.00 -0.41% SIDEWAYS 7h
$0.00 $0.00 +4.67% SIDEWAYS 1.2d
$0.00 $0.00 -0.97% SIDEWAYS 3h
$0.00 $0.00 +2.33% SIDEWAYS 1.5d
$0.00 $0.00 +5.79% SIDEWAYS 23h
$0.00 $0.00 +6.21% SIDEWAYS 1.3d
$0.00 $0.00 +1.51% SIDEWAYS 1.4d
$0.00 $0.00 +7.00% SIDEWAYS 1.7d
$0.00 $0.00 -2.25% SIDEWAYS 12h
$0.00 $0.00 +0.71% SIDEWAYS 19h

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.

76.9% Win Rate +58.2% Return -2.3% Max Drawdown Net of Fees