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 April 2025 period. The simulated paper trades of the model show that an initial investment at the start of the period with 20 trades would have compounded to a final value of $20,840 (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%).
Same coin, same period, same data window — different model. All walk-forward validated. v5.0 (Kairos) is the current production model (live since 11 May 2026); v4.2 (Theros) was the predecessor; v4.0.1 (Pythia) and v4.0 (Itzamná) confirmed the statistical edge during 2025; v2.5 is the legacy baseline.
Δ-arrows on the counterpart cards show this page minus that version. Higher return / WR = better; smaller (less negative) Max DD = better.
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 20-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 |
|---|---|---|---|---|---|
| SIDEWAYS | 18 | 77.8% | +4.14% | +103.12% | 18h |
| BULL | 2 | 100.0% | +4.38% | +8.95% | 15h |
All 20 trades executed during this paper trade period.
| Entry | Exit | Entry Price | Exit Price | PnL | Regime | Duration |
|---|---|---|---|---|---|---|
| 06 Apr 2025 19:00 | 07 Apr 2025 01:00 | $0.12 | $0.12 | +4.50% | SIDEWAYS | 7h |
| 07 Apr 2025 04:00 | 07 Apr 2025 13:00 | $0.12 | $0.12 | -1.89% | SIDEWAYS | 10h |
| 07 Apr 2025 15:00 | 08 Apr 2025 01:00 | $0.12 | $0.12 | +2.73% | SIDEWAYS | 11h |
| 08 Apr 2025 03:00 | 08 Apr 2025 04:00 | $0.12 | $0.12 | -0.74% | SIDEWAYS | 2h |
| 08 Apr 2025 06:00 | 08 Apr 2025 09:00 | $0.12 | $0.12 | +1.44% | SIDEWAYS | 4h |
| 08 Apr 2025 23:00 | 09 Apr 2025 19:00 | $0.11 | $0.13 | +14.60% | SIDEWAYS | 21h |
| 09 Apr 2025 21:00 | 10 Apr 2025 01:00 | $0.13 | $0.12 | -2.83% | SIDEWAYS | 5h |
| 10 Apr 2025 14:00 | 12 Apr 2025 14:00 | $0.12 | $0.13 | +8.61% | SIDEWAYS | 2d |
| 12 Apr 2025 16:00 | 12 Apr 2025 23:00 | $0.13 | $0.13 | +0.12% | SIDEWAYS | 8h |
| 13 Apr 2025 20:00 | 15 Apr 2025 01:00 | $0.12 | $0.13 | +3.51% | SIDEWAYS | 1.3d |
| 16 Apr 2025 01:00 | 16 Apr 2025 14:00 | $0.12 | $0.12 | +2.09% | SIDEWAYS | 14h |
| 16 Apr 2025 18:00 | 18 Apr 2025 21:00 | $0.12 | $0.12 | +2.35% | SIDEWAYS | 2.2d |
| 18 Apr 2025 23:00 | 19 Apr 2025 21:00 | $0.12 | $0.13 | +5.79% | SIDEWAYS | 23h |
| 20 Apr 2025 13:00 | 21 Apr 2025 15:00 | $0.13 | $0.15 | +16.40% | SIDEWAYS | 1.1d |
| 21 Apr 2025 17:00 | 22 Apr 2025 00:00 | $0.15 | $0.15 | +6.25% | SIDEWAYS | 8h |
| 22 Apr 2025 08:00 | 23 Apr 2025 06:00 | $0.15 | $0.16 | +5.73% | SIDEWAYS | 23h |
| 23 Apr 2025 08:00 | 23 Apr 2025 13:00 | $0.15 | $0.15 | -1.25% | SIDEWAYS | 6h |
| 24 Apr 2025 08:00 | 25 Apr 2025 14:00 | $0.15 | $0.16 | +7.06% | SIDEWAYS | 1.3d |
| 27 Apr 2025 17:00 | 28 Apr 2025 08:00 | $0.15 | $0.16 | +3.77% | BULL | 16h |
| 29 Apr 2025 23:00 | 30 Apr 2025 11:00 | $0.15 | $0.16 | +4.99% | BULL | 13h |
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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