Paper Trades / TNSR / TNSR — Tensor YTD 2026 (v6.2 (Pythia))
CURRENT · PYTHIA v6.2

TNSR Tensor Paper Trade

We ran simulated live trades using the AlgoZilla Omniscius v6.2 Pythia 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 YTD 2026 period. The simulated paper trades of the model show that an initial investment at the start of the period with 180 trades would have compounded to a final value of $10,000 (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.

v6.2 (Pythia) • 180 Trades • Imported
✓ Walk-forward validated ✓ Net of fees (0.15% / 0.25%)

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.

Performance FAQ TNSR Signals →

TNSR — Tensor YTD 2026 (v6.2 (Pythia)) Performancev6.2 Pythia

Tensor (TNSR) — year-to-date paper-trade 2026-01-03 → 2026-05-20, single OOS window, model trained on data up to 2025-12-31. Net of trading fees (Bitvavo 0.15% + 0.25%).

YTD Return
+29.3%
$10,000 →
$10,000
Win Rate
44.4%
0W / 0L
Trades
180
Sharpe
0.00
Alpha vs B&H
+82.97pp
Risk / Reward
0.00×
B&H Return
-53.65%
Max Drawdown
-12.18%
Avg Drawdown
0.00%
Wins / Losses
0W / 0L
Model
v6.2 (Pythia)
Full Backtest
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Frequently Asked Questions

What is a paper trade?

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 →

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 Tensor Smarter

These paper trade results show what our model delivers. Get real-time TNSR signals with entry, stop-loss, and take-profit on every trade.

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44.4% Win Rate +29.3% Return -12.2% Max Drawdown Net of Fees