Arbitrum Trading Signals
AI-powered ARB signals from Omniscius v2.5. Walk-forward validated.
AlgoZilla monitors Arbitrum (ARB) around the clock using 170+ technical indicators. Our Omniscius v2.5 model delivers a 78.7% win rate across 394 backtest trades with a Sharpe ratio of 11.7 and a maximum drawdown of -10.9%.
Every signal includes entry price, stop-loss, and take-profit. The model is retrained bi-weekly specifically for ARB, adapting to its unique market dynamics.
About Arbitrum
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 Performance
Based on the last 50 backtest trades for Arbitrum.
Paper Trade Results
Simulated live trading results for Arbitrum. Paper trades are executed monthly — each month represents a clean start.
How paper trades work: Paper trades simulate real-time signal execution without actual capital. Each monthly result shows the compound return from following every signal from the first day of that month — a clean entry point with no carry-over from previous months. The quarterly figure (Q1, Q2, etc.) compounds across three months, reflecting what a full-quarter allocation would have returned.
The model is retrained bi-weekly, which means paper trade results reflect the exact same model updates that live subscribers receive. Results include trading fees based on Bitvavo rates (0.15% entry + 0.25% exit). No slippage is applied. Trading via Bitget (0.1% / 0.1%) is significantly cheaper and would improve returns further.
Trade History
Price chart with entry (green) and exit (red/green) points from the walk-forward backtest.
Equity Curve
Portfolio growth over the most recent walk-forward fold (log scale).
Backtest Performance
Walk-forward validated results for ARB. Tested 2024–2026.
Extended Statistics
Recent Trades
Last 20 trades from the walk-forward backtest (run: April 17, 2026). Backtests are re-run after each bi-weekly model retrain.
| Entry | Exit | PnL | Regime | Duration |
|---|---|---|---|---|
| 02 Feb 2026 14:00 | 03 Feb 2026 00:00 | -0.84% | BEAR | 11h |
| 01 Feb 2026 22:00 | 02 Feb 2026 01:00 | +0.44% | BEAR | 4h |
| 31 Jan 2026 15:00 | 31 Jan 2026 23:00 | -1.46% | SIDEWAYS | 9h |
| 31 Jan 2026 00:00 | 31 Jan 2026 00:00 | -0.41% | SIDEWAYS | 1h |
| 30 Jan 2026 04:00 | 30 Jan 2026 11:00 | +0.75% | SIDEWAYS | 8h |
| 27 Jan 2026 13:00 | 28 Jan 2026 11:00 | +2.68% | SIDEWAYS | 23h |
| 25 Jan 2026 20:00 | 26 Jan 2026 15:00 | +2.11% | SIDEWAYS | 20h |
| 23 Jan 2026 15:00 | 23 Jan 2026 18:00 | +0.88% | SIDEWAYS | 4h |
| 22 Jan 2026 15:00 | 22 Jan 2026 17:00 | +0.77% | SIDEWAYS | 3h |
| 20 Jan 2026 22:00 | 21 Jan 2026 15:00 | +3.80% | SIDEWAYS | 18h |
| 16 Jan 2026 20:00 | 17 Jan 2026 15:00 | +5.53% | SIDEWAYS | 20h |
| 16 Jan 2026 05:00 | 16 Jan 2026 07:00 | +0.02% | SIDEWAYS | 3h |
| 12 Jan 2026 15:00 | 13 Jan 2026 22:00 | +8.88% | SIDEWAYS | 1.3d |
| 08 Jan 2026 13:00 | 08 Jan 2026 15:00 | +2.79% | SIDEWAYS | 3h |
| 06 Jan 2026 18:00 | 06 Jan 2026 21:00 | +3.02% | SIDEWAYS | 4h |
| 05 Jan 2026 06:00 | 05 Jan 2026 18:00 | +3.61% | SIDEWAYS | 13h |
| 03 Jan 2026 16:00 | 04 Jan 2026 16:00 | +3.53% | SIDEWAYS | 1d |
| 02 Jan 2026 11:00 | 03 Jan 2026 03:00 | +4.54% | SIDEWAYS | 17h |
| 31 Dec 2025 19:00 | 01 Jan 2026 22:00 | +8.35% | SIDEWAYS | 1.2d |
| 30 Dec 2025 01:00 | 30 Dec 2025 14:00 | +1.42% | SIDEWAYS | 14h |
Frequently Asked Questions
What is a backtest?
A backtest simulates how the model would have traded using historical data. Our backtests use walk-forward validation: the model is trained on past data and tested on future data it has never seen. This prevents overfitting and gives realistic performance estimates. View ARB backtest →
What are paper trades?
Paper trades are live signals executed in real-time without real money. They show how the model performs right now on current market data. Unlike backtests, paper trades have no hindsight bias — they prove the model works in live conditions. View paper trades →
Backtest vs Paper Trade?
Backtests cover years of data across multiple market cycles (bull, bear, sideways). Paper trades cover weeks to months of live data. Together they provide a complete picture: backtests show long-term robustness, paper trades confirm current-market performance.
How often is the model retrained?
The Omniscius model is retrained every two weeks per coin. Each retrain ingests the latest price data, on-chain metrics, and sentiment indicators. Feature importance is recalculated automatically so the model adapts to evolving market conditions. Learn more about Omniscius →
Start Trading Arbitrum Smarter
Every signal includes entry price, stop-loss, and take-profit. Delivered to your Telegram the moment our model detects an opportunity.
