Paper Trades / UNI / UNI — June 2025 (v4.0.1 Pythia)
CURRENT · OMNISCIUS v4.0.1 · PYTHIA

UNI Uniswap Paper Trade

UNI — June 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

Uniswap (UNI) is the governance token of the Uniswap protocol, the pioneering automated market maker and largest decentralized exchange by volume. UNI price tracks DEX trading volumes, DeFi sentiment, and governance proposals around fee switching. As a DeFi blue-chip, UNI provides liquid, consistent trading opportunities with strong correlation to Ethereum ecosystem health.

UNI — June 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
18.30
Alpha vs B&H
+93.85pp
Risk / Reward
43.07×
B&H Return
+15.71%
Max Drawdown
-2.54%
Avg Drawdown
-2.80%
Sharpe Trend
+1.13
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
+109.56%
Win Rate
92.9%
Sharpe
18.30
Alpha vs B&H
+93.85pp
Max DD
-2.54%
Avg DD
-2.80%
Risk / Reward
43.07×
Trades
14
v4.0 ITZAMNÁ
Return
+111.03%
▼ -1.47
Win Rate
94.4%
▼ -1.54
Sharpe
0.00
▲ +18.30
Alpha vs B&H
+0.00pp
▲ +93.85
Max DD
-7.31%
▲ +4.77
Avg DD
0.00%
▼ -2.80
Risk / Reward
0.00×
Trades
12
Open v4.0 page →
V2.5.8.3
Return
+44.34%
▲ +65.22
Win Rate
83.3%
▲ +9.56
Sharpe
0.00
▲ +18.30
Alpha vs B&H
+0.00pp
▲ +93.85
Max DD
-0.58%
▼ -1.96
Avg DD
0.00%
▼ -2.80
Risk / Reward
0.00×
Trades
12
Open page →

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

UNI

UNI Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +65.5%
11t
+92.6%
16t
+79.4%
12t
+49.3%
13t
+207.3%
14t
+109.6%
14t
+139.0%
15t
+81.8%
8t
+23,780.2%

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

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
+4.8
2
3
+3.4
4
5
6
7
8
+8.1
9
10
+16.2
11
12
13
+10.6
14
15
16
+10.5
17
18
+2.8
19
+2.1
20
+1.8
21
22
-2.5
23
24
+14.0
25
26
+5.0
27
28
29
+6.1
30
Smart Insights
  • Exceptional return: +109.6% — compound across the full walk-forward window.
  • High win rate: 92.9% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -2.5%.
  • Strongest regime: BUBBLE — avg +7.70% 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
BULL 7 100.0% +4.97% +39.96% 20h
SIDEWAYS 5 80.0% +6.50% +35.57% 15h
BUBBLE 2 100.0% +7.70% +15.90% 21h

Trade Logv4.2 Theros

All 14 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +4.81% BUBBLE 20h
$0.00 $0.00 +3.35% BULL 11h
$0.00 $0.00 +8.08% BULL 2.7d
$0.00 $0.00 +14.88% SIDEWAYS 21h
$0.00 $0.00 +1.17% SIDEWAYS 5h
$0.00 $0.00 +10.58% BUBBLE 22h
$0.00 $0.00 +10.54% BULL 16h
$0.00 $0.00 +2.77% BULL 12h
$0.00 $0.00 +2.10% BULL 11h
$0.00 $0.00 +1.78% BULL 7h
$0.00 $0.00 -2.54% SIDEWAYS 3h
$0.00 $0.00 +14.04% SIDEWAYS 1.5d
$0.00 $0.00 +4.95% SIDEWAYS 12h
$0.00 $0.00 +6.14% BULL 21h

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 UNI 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 Uniswap Smarter

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

92.9% Win Rate +109.6% Return -2.5% Max Drawdown Net of Fees