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

XVG Verge Paper Trade

XVG — April 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 10 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

Verge (XVG) is a long-running privacy-focused cryptocurrency that routes transactions through Tor and I2P to obscure user identity. Listed since 2016, XVG has full multi-cycle history including the 2017 and 2021 bull markets. Price action is dominated by privacy-narrative cycles and periodic retail-driven momentum bursts. Lower liquidity creates larger percentage swings.

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

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

Sharpe
15.05
Alpha vs B&H
+88.93pp
Risk / Reward
99+×
B&H Return
+27.05%
Max Drawdown
-0.03%
Avg Drawdown
-3.42%
Sharpe Trend
+1.72
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
+115.98%
Win Rate
90.0%
Sharpe
15.05
Alpha vs B&H
+88.93pp
Max DD
-0.03%
Avg DD
-3.42%
Risk / Reward
99+×
Trades
10
v4.0 ITZAMNÁ
Return
+108.99%
▲ +6.99
Win Rate
91.7%
▼ -1.70
Sharpe
0.00
▲ +15.05
Alpha vs B&H
+0.00pp
▲ +88.93
Max DD
-6.63%
▲ +6.60
Avg DD
0.00%
▼ -3.42
Risk / Reward
0.00×
Trades
10
Open v4.0 page →
V2.5.8.3
Return
+56.38%
▲ +59.60
Win Rate
70.0%
▲ +20.00
Sharpe
0.00
▲ +15.05
Alpha vs B&H
+0.00pp
▲ +88.93
Max DD
-1.01%
▲ +0.98
Avg DD
0.00%
▼ -3.42
Risk / Reward
0.00×
Trades
20
Open page →

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

XVG

XVG Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +131.0%
20t
+81.9%
19t
+98.4%
16t
+116.0%
10t
+183.5%
17t
+80.5%
13t
+118.4%
17t
+80.6%
14t
+36,242.3%

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

Day-by-day — XVG — 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
+8.7
8
9
+14.9
10
11
12
+8.8
13
14
+4.9
15
16
17
18
+9.0
19
0.0
20
21
+3.3
22
23
+10.5
24
25
+7.4
26
27
28
29
+23.9
30
Smart Insights
  • Exceptional return: +116.0% — compound across the full walk-forward window.
  • High win rate: 90.0% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only 0.0%.
  • Strongest regime: SIDEWAYS — avg +7.50% on 9 trades, WR 89%.

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 9 88.9% +7.50% +90.42% 1.1d
BULL 1 100.0% +23.91% +23.91% 1.3d

Trade Logv4.2 Theros

All 10 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +8.72% SIDEWAYS 7h
$0.00 $0.00 +14.87% SIDEWAYS 19h
$0.00 $0.00 +8.82% SIDEWAYS 1.6d
$0.00 $0.00 +4.93% SIDEWAYS 13h
$0.00 $0.00 +9.00% SIDEWAYS 2.1d
$0.00 $0.00 -0.03% SIDEWAYS 17h
$0.00 $0.00 +3.26% SIDEWAYS 1.3d
$0.00 $0.00 +10.46% SIDEWAYS 1d
$0.00 $0.00 +7.44% SIDEWAYS 1.7d
$0.00 $0.00 +23.91% BULL 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 XVG 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 Verge Smarter

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

90.0% Win Rate +116.0% Return 0.0% Max Drawdown Net of Fees