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

ARB Arbitrum Paper Trade

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

v4.0.1 Pythia 11 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 — March 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
13.72
Alpha vs B&H
+79.61pp
Risk / Reward
99+×
B&H Return
-21.36%
Max Drawdown
-0.22%
Avg Drawdown
-2.38%
Sharpe Trend
+2.57
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
+58.25%
Win Rate
90.9%
Sharpe
13.72
Alpha vs B&H
+79.61pp
Max DD
-0.22%
Avg DD
-2.38%
Risk / Reward
99+×
Trades
11
v4.0 ITZAMNÁ
Return
+52.49%
▲ +5.76
Win Rate
61.1%
▲ +29.81
Sharpe
0.00
▲ +13.72
Alpha vs B&H
+0.00pp
▲ +79.61
Max DD
-4.38%
▲ +4.16
Avg DD
0.00%
▼ -2.38
Risk / Reward
0.00×
Trades
10
Open v4.0 page →
V2.5.8.3
Return
+75.34%
▼ -17.09
Win Rate
94.7%
▼ -3.79
Sharpe
0.00
▲ +13.72
Alpha vs B&H
+0.00pp
▲ +79.61
Max DD
-0.03%
▼ -0.19
Avg DD
0.00%
▼ -2.38
Risk / Reward
0.00×
Trades
19
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 — March 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
+4.2
8
+3.4
9
10
11
+7.8
12
13
14
+9.5
15
16
17
+7.9
18
19
+7.1
20
-0.2
21
22
23
+3.0
24
25
+6.5
26
27
+0.3
28
29
30
31
+3.3
Smart Insights
  • Exceptional return: +58.3% — compound across the full walk-forward window.
  • High win rate: 90.9% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.2%.
  • Strongest regime: SIDEWAYS — avg +4.79% on 11 trades, WR 91%.

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 11 90.9% +4.79% +66.56% 18h

Trade Logv4.2 Theros

All 11 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +4.18% SIDEWAYS 11h
$0.00 $0.00 +3.41% SIDEWAYS 10h
$0.00 $0.00 +7.82% SIDEWAYS 19h
$0.00 $0.00 +9.48% SIDEWAYS 24h
$0.00 $0.00 +7.91% SIDEWAYS 12h
$0.00 $0.00 +7.08% SIDEWAYS 1.4d
$0.00 $0.00 -0.22% SIDEWAYS 3h
$0.00 $0.00 +2.97% SIDEWAYS 2.1d
$0.00 $0.00 +6.49% SIDEWAYS 23h
$0.00 $0.00 +0.27% SIDEWAYS 4h
$0.00 $0.00 +3.32% SIDEWAYS 6h

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.

90.9% Win Rate +58.3% Return -0.2% Max Drawdown Net of Fees