Paper Trades / TNSR / TNSR — March 2025 (v4.2 Theros)
LEGACY · v4.2 Theros

TNSR Tensor Paper Trade

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 March 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 $14,379 (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.

v4.2 Theros • 20 Trades • Completed
✓ 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 Price & Trades Trade Stats Day Grid Regimes Trade Log FAQ TNSR Signals →

TNSR — March 2025 (v4.2 Theros) Performancev4.2 Theros

Tensor (TNSR) — clean monthly entry, no carry-over from previous months. Net of trading fees (Bitvavo 0.15% + 0.25%).

Monthly Return
+43.8%
$10,000 →
$14,379
Win Rate
75.0%
15W / 5L
Trades
20
Sharpe
6.82
Alpha vs B&H
+112.08pp
Risk / Reward
13.19×
B&H Return
-68.29%
Max Drawdown
-3.32%
Avg Drawdown
-4.99%
Sharpe Trend
-15.99
Model
v4.2 Theros
Full Backtest
View →

Side-by-side: model versions

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.

v4.0.1 PYTHIA
Return
+33.20%
▲ +10.59
Win Rate
69.2%
▲ +5.77
Sharpe
5.10
▲ +1.72
Alpha vs B&H
+101.49pp
▲ +10.59
Max DD
-3.42%
▲ +0.10
Avg DD
-3.71%
▼ -1.28
Risk / Reward
9.72×
Trades
13
Open v4.0.1 page →
v4.0 ITZAMNÁ
Return
+27.64%
▲ +16.15
Win Rate
60.7%
▲ +14.30
Sharpe
0.00
▲ +6.82
Alpha vs B&H
+0.00pp
▲ +112.08
Max DD
-5.28%
▲ +1.96
Avg DD
0.00%
▼ -4.99
Risk / Reward
0.00×
Trades
13
Open v4.0 page →
V4.2 THEROS THIS PAGE
Return
+43.79%
Win Rate
75.0%
Sharpe
6.82
Alpha vs B&H
+112.08pp
Max DD
-3.32%
Avg DD
-4.99%
Risk / Reward
13.19×
Trades
20

Δ-arrows on the counterpart cards show this page minus that version. Higher return / WR = better; smaller (less negative) Max DD = better.

Day-by-day — TNSR — March 2025 (v4.2 Theros) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
—
2
—
3
—
4
—
5
—
6
—
7
+5.5
8
+7.4
9
—
10
+5.1
11
+4.7
12
+3.5
13
—
14
—
15
—
16
—
17
+0.5
18
+1.9
19
—
20
-0.8
21
-0.6
22
-0.8
23
-1.1
24
—
25
+15.7
26
+1.8
27
—
28
—
29
+3.3
30
-2.3
31
+0.4

Price & trade markersv4.2 Theros

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.

Loading 1H candles…
▲ Entry ▼ Profit exit ▼ Loss exit Powered by TradingView Lightweight Charts

Trade statisticsv4.2 Theros

Aggregates derived from the full 20-trade log of this period.

Avg Win
+3.37%
Avg Loss
-1.31%
Best Trade
+14.45%
Worst Trade
-2.25%
Avg Bars Held
12.9h
Exit-reason mix (hover badges for details)
Signal flip: 11 (55%) Forward-pred: 8 (40%) Stop-loss: 1 (5%)
Smart Insights
  • ↑ Exceptional return: +43.8% — compound across the full walk-forward window.
  • ↑ Healthy win rate: 75.0%.
  • ↑ Strongest regime: SIDEWAYS — avg +2.20% on 20 trades, WR 75%.

Per-regime Breakdownv4.2 Theros

How the model performs across the 4 market regimes detected by Omniscius.

Regime Trades Win Rate Avg PnL Compounded Return Avg Hold
SIDEWAYS 20 75.0% +2.20% +52.73% 13h

Trade Logv4.2 Theros

All 20 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
06 Mar 2025 23:00 07 Mar 2025 12:00 $0.42 $0.44 +3.55% SIDEWAYS 14h
07 Mar 2025 14:00 07 Mar 2025 18:00 $0.43 $0.44 +1.84% SIDEWAYS 5h
08 Mar 2025 00:00 08 Mar 2025 20:00 $0.42 $0.45 +7.43% SIDEWAYS 21h
10 Mar 2025 14:00 10 Mar 2025 19:00 $0.30 $0.31 +5.14% SIDEWAYS 6h
11 Mar 2025 01:00 11 Mar 2025 05:00 $0.28 $0.29 +4.69% SIDEWAYS 5h
12 Mar 2025 14:00 12 Mar 2025 19:00 $0.26 $0.27 +3.48% SIDEWAYS 6h
17 Mar 2025 00:00 17 Mar 2025 21:00 $0.24 $0.24 +0.48% SIDEWAYS 22h
18 Mar 2025 07:00 18 Mar 2025 09:00 $0.23 $0.23 +1.90% SIDEWAYS 3h
18 Mar 2025 16:00 20 Mar 2025 05:00 $0.22 $0.22 -1.17% SIDEWAYS 1.6d
20 Mar 2025 12:00 20 Mar 2025 14:00 $0.22 $0.22 +0.33% SIDEWAYS 3h
20 Mar 2025 17:00 21 Mar 2025 01:00 $0.21 $0.21 -1.16% SIDEWAYS 9h
21 Mar 2025 03:00 21 Mar 2025 05:00 $0.21 $0.21 +0.60% SIDEWAYS 3h
21 Mar 2025 13:00 22 Mar 2025 17:00 $0.20 $0.20 -0.85% SIDEWAYS 1.2d
23 Mar 2025 03:00 23 Mar 2025 05:00 $0.20 $0.20 -1.10% SIDEWAYS 3h
23 Mar 2025 18:00 25 Mar 2025 07:00 $0.19 $0.22 +14.45% SIDEWAYS 1.6d
25 Mar 2025 10:00 25 Mar 2025 15:00 $0.22 $0.22 +1.11% SIDEWAYS 6h
26 Mar 2025 01:00 26 Mar 2025 07:00 $0.21 $0.22 +1.83% SIDEWAYS 7h
28 Mar 2025 17:00 29 Mar 2025 01:00 $0.18 $0.18 +3.34% SIDEWAYS 9h
30 Mar 2025 02:00 30 Mar 2025 16:00 $0.17 $0.17 -2.25% SIDEWAYS 15h
31 Mar 2025 08:00 31 Mar 2025 22:00 $0.16 $0.16 +0.45% SIDEWAYS 15h

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.

Get Started → TNSR Signals → View Plans →
75.0% Win Rate +43.8% Return -3.3% Max Drawdown Net of Fees