Paper Trades / XAI / XAI — July 2025 (v4.0.1 Pythia)
CURRENT · OMNISCIUS v4.0.1 · PYTHIA

XAI Xai Paper Trade

XAI — July 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 18 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

Xai (XAI) is a Layer-3 chain built on Arbitrum specifically for Web3 gaming, allowing seamless in-game asset ownership and trading. Listed in early 2024 with limited but expanding trading history. Price responds to gaming-ecosystem catalysts, major game launches, and broader L3-narrative cycles.

XAI — July 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
13.47
Alpha vs B&H
+91.88pp
Risk / Reward
14.04×
B&H Return
+2.43%
Max Drawdown
-6.72%
Avg Drawdown
-6.07%
Sharpe Trend
-4.70
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
+94.32%
Win Rate
94.4%
Sharpe
13.47
Alpha vs B&H
+91.88pp
Max DD
-6.72%
Avg DD
-6.07%
Risk / Reward
14.04×
Trades
18
v4.0 ITZAMNÁ
Return
+91.93%
▲ +2.39
Win Rate
90.0%
▲ +4.44
Sharpe
0.00
▲ +13.47
Alpha vs B&H
+0.00pp
▲ +91.88
Max DD
-7.89%
▲ +1.17
Avg DD
0.00%
▼ -6.07
Risk / Reward
0.00×
Trades
18
Open v4.0 page →

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

XAI

XAI Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +78.4%
17t
+63.4%
15t
+48.9%
11t
+96.2%
14t
+138.3%
16t
+61.2%
14t
+94.3%
18t
+95.4%
12t
+12,322.3%

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

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
6
+4.1
7
8
9
10
+23.1
11
+1.3
12
-6.7
13
+1.9
14
+1.8
15
16
+10.1
17
+4.4
18
+1.5
19
+1.8
20
+4.9
21
+1.3
22
+4.0
23
24
+0.8
25
26
+2.7
27
28
+1.3
29
+5.8
30
31
+4.2
Smart Insights
  • Exceptional return: +94.3% — compound across the full walk-forward window.
  • High win rate: 94.4% — 4 in 5 trades close in profit.
  • Strongest regime: BULL — avg +13.58% on 2 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
BUBBLE 16 93.8% +2.56% +48.55% 12h
BULL 2 100.0% +13.58% +28.11% 1.9d

Trade Logv4.2 Theros

All 18 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +4.10% BULL 20h
$0.00 $0.00 +23.06% BULL 3d
$0.00 $0.00 +1.31% BUBBLE 3h
$0.00 $0.00 -6.72% BUBBLE 5h
$0.00 $0.00 +1.92% BUBBLE 10h
$0.00 $0.00 +1.82% BUBBLE 2h
$0.00 $0.00 +10.07% BUBBLE 1.6d
$0.00 $0.00 +4.41% BUBBLE 7h
$0.00 $0.00 +1.45% BUBBLE 4h
$0.00 $0.00 +1.84% BUBBLE 8h
$0.00 $0.00 +4.89% BUBBLE 18h
$0.00 $0.00 +1.25% BUBBLE 3h
$0.00 $0.00 +3.97% BUBBLE 12h
$0.00 $0.00 +0.80% BUBBLE 5h
$0.00 $0.00 +2.66% BUBBLE 1.4d
$0.00 $0.00 +1.34% BUBBLE 19h
$0.00 $0.00 +5.76% BUBBLE 7h
$0.00 $0.00 +4.17% BUBBLE 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 XAI 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 Xai Smarter

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

94.4% Win Rate +94.3% Return -6.7% Max Drawdown Net of Fees