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

WLD Worldcoin Paper Trade

WLD — August 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 9 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 — August 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
13.82
Alpha vs B&H
+95.51pp
Risk / Reward
99+×
B&H Return
-7.52%
Max Drawdown
0.00%
Avg Drawdown
-2.41%
Sharpe Trend
-1.65
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
+87.99%
Win Rate
100.0%
Sharpe
13.82
Alpha vs B&H
+95.51pp
Max DD
0.00%
Avg DD
-2.41%
Risk / Reward
99+×
Trades
9
V2.5.8.3
Return
+33.92%
▲ +54.07
Win Rate
76.9%
▲ +23.10
Sharpe
0.00
▲ +13.82
Alpha vs B&H
+0.00pp
▲ +95.51
Max DD
-0.43%
▲ +0.43
Avg DD
0.00%
▼ -2.41
Risk / Reward
0.00×
Trades
13
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 — August 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
+4.5
5
6
7
8
+10.4
9
10
11
+3.0
12
13
+13.6
14
15
16
17
+2.3
18
19
20
21
+4.9
22
23
+9.0
24
+5.5
25
26
27
+9.0
28
29
30
31
Smart Insights
  • Exceptional return: +88.0% — compound across the full walk-forward window.
  • High win rate: 100.0% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only 0.0%.
  • Strongest regime: SIDEWAYS — avg +6.98% on 4 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 5 100.0% +6.84% +38.60% 1.4d
SIDEWAYS 4 100.0% +6.98% +30.90% 1.1d

Trade Logv4.2 Theros

All 9 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +4.47% SIDEWAYS 1.6d
$0.00 $0.00 +10.44% BULL 2.9d
$0.00 $0.00 +3.00% BULL 18h
$0.00 $0.00 +13.62% BULL 1.7d
$0.00 $0.00 +2.27% BULL 14h
$0.00 $0.00 +4.86% BULL 1.1d
$0.00 $0.00 +8.96% SIDEWAYS 1.2d
$0.00 $0.00 +5.51% SIDEWAYS 8h
$0.00 $0.00 +8.99% SIDEWAYS 1.3d

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.

100.0% Win Rate +88.0% Return 0.0% Max Drawdown Net of Fees