Paper Trades / TAO / TAO — July 2025 (v4.0.1 Pythia)
CURRENT · OMNISCIUS v4.0.1 · PYTHIA

TAO Bittensor Paper Trade

TAO — July 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 14 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

Bittensor (TAO) is a decentralized machine learning network where participants are rewarded for contributing AI models. As the leading decentralized AI protocol, TAO prices are heavily influenced by AI sector developments and network growth metrics. The token shows strong momentum patterns during AI narrative cycles and has distinct volatility characteristics compared to other assets.

TAO — July 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
12.23
Alpha vs B&H
+40.19pp
Risk / Reward
22.12×
B&H Return
+9.35%
Max Drawdown
-2.24%
Avg Drawdown
-3.18%
Sharpe Trend
+1.69
Model
v4.0.1 Pythia
Full Backtest

Side-by-side: model versions

Same coin, same period, same data window — different model. All walk-forward validated. v4.0.1 (Pythia) is the current production model; v4.0 (Itzamná) confirmed the statistical edge across 46 coins; v2.5 is the legacy baseline.

v4.0.1 PYTHIA THIS PAGE
Return
+49.54%
Win Rate
78.6%
Sharpe
12.23
Alpha vs B&H
+40.19pp
Max DD
-2.24%
Avg DD
-3.18%
Risk / Reward
22.12×
Trades
14
v4.0 ITZAMNÁ
Return
+45.21%
▲ +4.33
Win Rate
78.6%
▼ -0.03
Sharpe
0.00
▲ +12.23
Alpha vs B&H
+0.00pp
▲ +40.19
Max DD
-3.44%
▲ +1.20
Avg DD
0.00%
▼ -3.18
Risk / Reward
0.00×
Trades
14
Open v4.0 page →

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

TAO

TAO Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +95.4%
19t
+122.7%
19t
+105.5%
12t
+136.9%
13t
+142.8%
15t
+86.8%
12t
+49.5%
14t
+72.1%
10t
+24,624.4%

All months for TAO under this model. Click a cell to drill into that month's trade log. Color intensity = magnitude.

Day-by-day — TAO — July 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
6
7
+1.9
8
+0.7
9
10
+7.3
11
12
13
+4.3
14
-0.6
15
16
+6.2
17
18
0.0
19
20
+2.6
21
22
+14.3
23
+1.3
24
-2.2
25
26
+5.7
27
28
29
30
31
+3.2
Smart Insights
  • Exceptional return: +49.5% — compound across the full walk-forward window.
  • Healthy win rate: 78.6%.
  • Tight risk control: max drawdown only -2.2%.
  • Strongest regime: BULL — avg +4.01% on 2 trades, WR 100%.

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
BUBBLE 12 75.0% +3.02% +42.10% 14h
BULL 2 100.0% +4.01% +8.06% 14h

Trade Logv4.2 Theros

All 14 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +1.86% BUBBLE 24h
$0.00 $0.00 +0.66% BULL 7h
$0.00 $0.00 +7.35% BULL 20h
$0.00 $0.00 +4.34% BUBBLE 1.1d
$0.00 $0.00 -0.59% BUBBLE 3h
$0.00 $0.00 +6.16% BUBBLE 15h
$0.00 $0.00 -0.03% BUBBLE 6h
$0.00 $0.00 +2.63% BUBBLE 11h
$0.00 $0.00 +8.68% BUBBLE 24h
$0.00 $0.00 +5.18% BUBBLE 11h
$0.00 $0.00 +1.31% BUBBLE 3h
$0.00 $0.00 -2.24% BUBBLE 3h
$0.00 $0.00 +5.73% BUBBLE 1.2d
$0.00 $0.00 +3.16% BUBBLE 16h

Frequently Asked Questions

What is a paper trade?

A paper trade simulates real signal execution without real money. Each month starts fresh with a clean €10,000 allocation — no carry-over from previous months. This shows exactly what would have happened if you started following signals on day one of that month. View live TAO 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 Bittensor Smarter

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

78.6% Win Rate +49.5% Return -2.2% Max Drawdown Net of Fees