Paper Trades / WLD / WLD — April 2025 (v4.0.1 Pythia)
CURRENT · OMNISCIUS v4.0.1 · PYTHIA

WLD Worldcoin Paper Trade

WLD — April 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

Worldcoin (WLD) is a protocol that pairs biometric iris scanning with a cryptocurrency airdrop to verify unique humans on-chain, founded by Sam Altman. Listed since July 2023 with roughly two cycles of trading data. Price responds to AI-narrative cycles, regulatory developments around biometric data, and Orb-rollout milestones.

WLD — April 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
13.86
Alpha vs B&H
+37.79pp
Risk / Reward
99+×
B&H Return
+55.53%
Max Drawdown
-0.27%
Avg Drawdown
-7.85%
Sharpe Trend
+7.58
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
+93.32%
Win Rate
92.3%
Sharpe
13.86
Alpha vs B&H
+37.79pp
Max DD
-0.27%
Avg DD
-7.85%
Risk / Reward
99+×
Trades
13
v4.0 ITZAMNÁ
Return
+90.81%
▲ +2.51
Win Rate
100.0%
▼ -7.69
Sharpe
0.00
▲ +13.86
Alpha vs B&H
+0.00pp
▲ +37.79
Max DD
-9.86%
▲ +9.59
Avg DD
0.00%
▼ -7.85
Risk / Reward
0.00×
Trades
11
Open v4.0 page →
V2.5.8.3
Return
+37.76%
▲ +55.56
Win Rate
68.8%
▲ +23.51
Sharpe
0.00
▲ +13.86
Alpha vs B&H
+0.00pp
▲ +37.79
Max DD
-3.21%
▲ +2.94
Avg DD
0.00%
▼ -7.85
Risk / Reward
0.00×
Trades
16
Open page →

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

WLD

WLD Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +118.0%
14t
+100.3%
14t
+63.6%
12t
+93.3%
13t
+221.7%
16t
+27.8%
12t
+125.6%
13t
+88.0%
9t
+23,993.7%

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

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
6
7
+1.9
8
9
+11.7
10
-0.3
11
12
+9.7
13
14
+4.2
15
16
+0.7
17
18
+3.3
19
+6.5
20
21
22
23
+13.2
24
25
+18.3
26
+3.3
27
28
+5.4
29
+0.6
30
Smart Insights
  • Exceptional return: +93.3% — compound across the full walk-forward window.
  • High win rate: 92.3% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.3%.
  • Strongest regime: SIDEWAYS — avg +6.93% 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
SIDEWAYS 10 90.0% +6.93% +92.64% 21h
BULL 3 100.0% +3.08% +9.46% 9h

Trade Logv4.2 Theros

All 13 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +1.91% SIDEWAYS 22h
$0.00 $0.00 +11.72% SIDEWAYS 22h
$0.00 $0.00 -0.27% SIDEWAYS 4h
$0.00 $0.00 +9.65% SIDEWAYS 1.5d
$0.00 $0.00 +4.19% SIDEWAYS 18h
$0.00 $0.00 +0.74% SIDEWAYS 3h
$0.00 $0.00 +3.31% SIDEWAYS 1.2d
$0.00 $0.00 +6.54% SIDEWAYS 19h
$0.00 $0.00 +13.24% SIDEWAYS 1.2d
$0.00 $0.00 +18.27% SIDEWAYS 1.2d
$0.00 $0.00 +3.26% BULL 11h
$0.00 $0.00 +5.42% BULL 9h
$0.00 $0.00 +0.55% 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 WLD 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 Worldcoin Smarter

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

92.3% Win Rate +93.3% Return -0.3% Max Drawdown Net of Fees