We ran simulated live trades using the AlgoZilla Omniscius v4.2 Theros model for TNSR - Tensor. The results below give you an overview of the most important Key Performance Indicators, Equity Curve and the Trade Log as simulated by our Pythia model. The returns have been accumulated over the February 2026 period. The simulated paper trades of the model show that an initial investment at the start of the period with 29 trades would have compounded to a final value of $22,163 (from a $10,000 base). All results are net of trading fees based on Bitvavo rates (0.15% entry + 0.25% exit). The model uses a 15‑minute delay on the signal on both entries and exits to simulate possible slippage when executing orders.
Tensor (TNSR) is the governance token of Tensor, the dominant NFT trading platform on Solana. As NFT trading volumes fluctuate with market sentiment, TNSR provides leveraged exposure to Solana ecosystem activity. The token is relatively newer with lower liquidity, creating larger percentage moves that our model navigates through careful position sizing.
Tensor (TNSR) — clean monthly entry, no carry-over from previous months. Net of trading fees (Bitvavo 0.15% + 0.25%).
1H candles for TNSR over the test window with every entry (▲ green up-arrow) and exit (▼ green = profitable, ▼ red = loss). Hover a marker for trade details.
Aggregates derived from the full 29-trade log of this period.
How the model performs across the 4 market regimes detected by Omniscius.
| Regime | Trades | Win Rate | Avg PnL | Compounded Return | Avg Hold |
|---|---|---|---|---|---|
| BEAR | 29 | 75.9% | +3.63% | +166.85% | 12h |
All 29 trades executed during this paper trade period.
| Entry | Exit | Entry Price | Exit Price | PnL | Regime | Duration |
|---|---|---|---|---|---|---|
| 01 Feb 2026 02:00 | 01 Feb 2026 14:00 | $0.05 | $0.05 | +0.19% | BEAR | 13h |
| 02 Feb 2026 09:00 | 03 Feb 2026 05:00 | $0.05 | $0.05 | +2.49% | BEAR | 21h |
| 03 Feb 2026 10:00 | 03 Feb 2026 17:00 | $0.05 | $0.05 | -3.42% | BEAR | 8h |
| 03 Feb 2026 19:00 | 03 Feb 2026 20:00 | $0.05 | $0.05 | +3.91% | BEAR | 2h |
| 04 Feb 2026 01:00 | 04 Feb 2026 10:00 | $0.05 | $0.05 | -0.21% | BEAR | 10h |
| 04 Feb 2026 16:00 | 05 Feb 2026 02:00 | $0.05 | $0.05 | -0.21% | BEAR | 11h |
| 05 Feb 2026 21:00 | 06 Feb 2026 17:00 | $0.04 | $0.05 | +9.60% | BEAR | 21h |
| 06 Feb 2026 19:00 | 06 Feb 2026 23:00 | $0.05 | $0.05 | +0.89% | BEAR | 5h |
| 09 Feb 2026 02:00 | 09 Feb 2026 06:00 | $0.04 | $0.04 | -0.41% | BEAR | 5h |
| 09 Feb 2026 10:00 | 09 Feb 2026 18:00 | $0.04 | $0.04 | +3.04% | BEAR | 9h |
| 11 Feb 2026 01:00 | 11 Feb 2026 21:00 | $0.04 | $0.06 | +29.49% | BEAR | 21h |
| 12 Feb 2026 00:00 | 12 Feb 2026 05:00 | $0.05 | $0.06 | +13.87% | BEAR | 6h |
| 12 Feb 2026 07:00 | 12 Feb 2026 16:00 | $0.06 | $0.06 | -1.59% | BEAR | 10h |
| 12 Feb 2026 18:00 | 12 Feb 2026 19:00 | $0.06 | $0.06 | +11.65% | BEAR | 2h |
| 12 Feb 2026 22:00 | 13 Feb 2026 10:00 | $0.06 | $0.06 | +2.53% | BEAR | 13h |
| 13 Feb 2026 13:00 | 13 Feb 2026 17:00 | $0.06 | $0.06 | -1.08% | BEAR | 5h |
| 14 Feb 2026 01:00 | 14 Feb 2026 09:00 | $0.06 | $0.06 | +1.56% | BEAR | 9h |
| 15 Feb 2026 21:00 | 16 Feb 2026 09:00 | $0.05 | $0.06 | +10.31% | BEAR | 13h |
| 16 Feb 2026 11:00 | 16 Feb 2026 14:00 | $0.06 | $0.06 | +0.65% | BEAR | 4h |
| 16 Feb 2026 16:00 | 17 Feb 2026 08:00 | $0.06 | $0.06 | +1.02% | BEAR | 17h |
| 18 Feb 2026 19:00 | 19 Feb 2026 01:00 | $0.05 | $0.05 | +0.76% | BEAR | 7h |
| 19 Feb 2026 14:00 | 20 Feb 2026 10:00 | $0.05 | $0.05 | +4.93% | BEAR | 21h |
| 20 Feb 2026 12:00 | 20 Feb 2026 16:00 | $0.05 | $0.05 | +1.78% | BEAR | 5h |
| 22 Feb 2026 20:00 | 23 Feb 2026 09:00 | $0.05 | $0.05 | +2.82% | BEAR | 14h |
| 23 Feb 2026 11:00 | 23 Feb 2026 16:00 | $0.05 | $0.05 | -4.69% | BEAR | 6h |
| 23 Feb 2026 18:00 | 24 Feb 2026 02:00 | $0.05 | $0.05 | +3.41% | BEAR | 9h |
| 24 Feb 2026 04:00 | 25 Feb 2026 17:00 | $0.05 | $0.05 | +1.00% | BEAR | 1.6d |
| 26 Feb 2026 17:00 | 27 Feb 2026 05:00 | $0.05 | $0.05 | +4.51% | BEAR | 13h |
| 28 Feb 2026 07:00 | 28 Feb 2026 22:00 | $0.04 | $0.05 | +6.37% | BEAR | 16h |
A paper trade simulates real signal execution without real money. Each period starts fresh with a clean $10,000 allocation — no carry-over from previous windows. This shows exactly what would have happened if you started following signals on day one of that window. View live TNSR signals →
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.
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.
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 →
These paper trade results show what our model delivers. Get real-time TNSR signals with entry, stop-loss, and take-profit on every trade.
Institutional-grade AI trading signals for crypto traders. Our ensemble models use strict walk-forward validation across multiple Bitcoin halving cycles. No curve-fitting, no hype — just data-driven signals delivered to your Telegram. Methodology and changelog are public on our About page.
Prices delayed up to 5 minutes. Trading and investing involve significant risk of loss. All content on this site is for informational purposes only and does not constitute financial advice. Decisions to buy, sell, or hold are best made with the advice of qualified financial professionals. Past performance does not guarantee future results.
Hypothetical or simulated performance results have inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Since the trades have not been executed, the results may have under- or over-compensated for the impact of certain market factors, including lack of liquidity. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
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