Tensor Trading Signals
AI-powered TNSR signals from Omniscius v2.5. Walk-forward validated.
AlgoZilla monitors Tensor (TNSR) around the clock using 170+ technical indicators. Our Omniscius v2.5 model analyzes momentum, trend, volume, volatility, and sentiment data to generate high-conviction BUY and SELL signals.
Every signal includes a specific entry price, stop-loss level, and take-profit target. The model is retrained bi-weekly specifically for TNSR, adapting to its unique market dynamics and correlations.
TNSR signals are available on the Pro plan (expanded coverage) or Premium plan (all 56 coins). Our 7-day money-back guarantee lets you try AlgoZilla risk-free.
TNSR Performance
Based on the last 50 backtest trades for Tensor.
Paper Trade Results
Simulated live trading results for Tensor. Paper trades are executed monthly — each month represents a clean start. Current month data through April 11, 2026.
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 TNSR. Tested across 2017–2026.
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 |
|---|---|---|---|---|
| 10 Apr 2026 21:00 | 11 Apr 2026 05:00 | +4.02% | BEAR | 9h |
| 07 Apr 2026 23:00 | 09 Apr 2026 16:00 | +29.54% | BEAR | 1.8d |
| 07 Apr 2026 01:00 | 07 Apr 2026 10:00 | -2.25% | BEAR | 10h |
| 05 Apr 2026 09:00 | 06 Apr 2026 12:00 | +1.48% | BEAR | 1.2d |
| 31 Mar 2026 01:00 | 01 Apr 2026 06:00 | +5.87% | BEAR | 1.3d |
| 29 Mar 2026 23:00 | 30 Mar 2026 12:00 | +3.35% | BEAR | 14h |
| 27 Mar 2026 00:00 | 28 Mar 2026 00:00 | -4.54% | BEAR | 1d |
| 24 Mar 2026 18:00 | 25 Mar 2026 01:00 | +1.25% | BEAR | 8h |
| 22 Mar 2026 21:00 | 23 Mar 2026 18:00 | +5.70% | BEAR | 22h |
| 20 Mar 2026 17:00 | 22 Mar 2026 00:00 | -4.76% | BEAR | 1.3d |
| 11 Mar 2026 19:00 | 17 Mar 2026 04:00 | +1.15% | BEAR | 5.4d |
| 08 Mar 2026 08:00 | 10 Mar 2026 08:00 | +1.31% | BEAR | 2d |
| 07 Mar 2026 05:00 | 07 Mar 2026 19:00 | -6.97% | BEAR | 15h |
| 06 Mar 2026 00:00 | 06 Mar 2026 13:00 | +1.07% | BEAR | 14h |
| 04 Mar 2026 10:00 | 05 Mar 2026 11:00 | +2.25% | BEAR | 1.1d |
| 03 Mar 2026 10:00 | 03 Mar 2026 21:00 | +2.14% | BEAR | 12h |
| 01 Mar 2026 20:00 | 02 Mar 2026 07:00 | +3.03% | BEAR | 12h |
| 28 Feb 2026 09:00 | 01 Mar 2026 00:00 | +8.45% | BEAR | 16h |
| 26 Feb 2026 17:00 | 27 Feb 2026 01:00 | +1.52% | BEAR | 9h |
| 24 Feb 2026 17:00 | 26 Feb 2026 00:00 | +1.76% | BEAR | 1.3d |
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 TNSR 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 Tensor Smarter
Every signal includes entry price, stop-loss, and take-profit. Delivered to your Telegram the moment our model detects an opportunity.
