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

ARB Arbitrum Paper Trade

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

v4.0.1 Pythia 14 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

Arbitrum (ARB) is the governance token of the Arbitrum network, the largest Ethereum Layer 2 by total value locked. Arbitrum uses optimistic rollups to provide faster and cheaper transactions while inheriting Ethereum's security. ARB price is influenced by Layer 2 adoption metrics, DeFi activity, and Ethereum scaling narratives. Its relatively young market history provides fresh price patterns for our model to exploit.

ARB — August 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
16.04
Alpha vs B&H
+157.98pp
Risk / Reward
99+×
B&H Return
+32.12%
Max Drawdown
-0.87%
Avg Drawdown
-2.89%
Sharpe Trend
-21.52
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
+190.10%
Win Rate
85.7%
Sharpe
16.04
Alpha vs B&H
+157.98pp
Max DD
-0.87%
Avg DD
-2.89%
Risk / Reward
99+×
Trades
14
V2.5.8.3
Return
+110.82%
▲ +79.28
Win Rate
66.7%
▲ +19.01
Sharpe
0.00
▲ +16.04
Alpha vs B&H
+0.00pp
▲ +157.98
Max DD
-4.49%
▲ +3.62
Avg DD
0.00%
▼ -2.89
Risk / Reward
0.00×
Trades
15
Open page →

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

ARB

ARB Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +87.5%
14t
+78.8%
16t
+58.3%
11t
+55.9%
9t
+137.5%
15t
+74.6%
12t
+117.3%
18t
+190.1%
14t
+21,516.3%

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

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
+6.0
5
6
7
8
9
+24.0
10
11
+3.5
12
13
+28.4
14
15
-0.9
16
17
+10.8
18
19
20
21
+9.2
22
23
+20.8
24
+3.5
25
26
+4.8
27
28
+1.1
29
30
31
0.0
Smart Insights
  • Exceptional return: +190.1% — compound across the full walk-forward window.
  • High win rate: 85.7% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.9%.
  • Strongest regime: BULL — avg +10.73% on 7 trades, WR 86%.

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 7 85.7% +10.73% +97.81% 1.3d
SIDEWAYS 7 85.7% +5.10% +40.35% 15h

Trade Logv4.2 Theros

All 14 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +5.99% SIDEWAYS 1.6d
$0.00 $0.00 +24.04% BULL 4d
$0.00 $0.00 +3.49% BULL 18h
$0.00 $0.00 +28.39% BULL 2d
$0.00 $0.00 -0.87% BULL 14h
$0.00 $0.00 +10.83% BULL 13h
$0.00 $0.00 +8.68% BULL 1.1d
$0.00 $0.00 +0.52% BULL 7h
$0.00 $0.00 +17.99% SIDEWAYS 13h
$0.00 $0.00 +2.40% SIDEWAYS 8h
$0.00 $0.00 +3.50% SIDEWAYS 7h
$0.00 $0.00 +4.76% SIDEWAYS 18h
$0.00 $0.00 +1.12% SIDEWAYS 18h
$0.00 $0.00 -0.04% SIDEWAYS 2h

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 ARB 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 Arbitrum Smarter

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

85.7% Win Rate +190.1% Return -0.9% Max Drawdown Net of Fees