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

UNI Uniswap Paper Trade

UNI — January 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 11 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 — January 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
11.04
Alpha vs B&H
+88.83pp
Risk / Reward
98.74×
B&H Return
-23.37%
Max Drawdown
-0.66%
Avg Drawdown
-4.01%
Sharpe Trend
+1.00
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
+65.46%
Win Rate
81.8%
Sharpe
11.04
Alpha vs B&H
+88.83pp
Max DD
-0.66%
Avg DD
-4.01%
Risk / Reward
98.74×
Trades
11
v4.0 ITZAMNÁ
Return
+56.60%
▲ +8.86
Win Rate
80.0%
▲ +1.82
Sharpe
0.00
▲ +11.04
Alpha vs B&H
+0.00pp
▲ +88.83
Max DD
-4.60%
▲ +3.94
Avg DD
0.00%
▼ -4.01
Risk / Reward
0.00×
Trades
11
Open v4.0 page →
V2.5.8.3
Return
+50.55%
▲ +14.91
Win Rate
100.0%
▼ -18.18
Sharpe
0.00
▲ +11.04
Alpha vs B&H
+0.00pp
▲ +88.83
Max DD
0.00%
▼ -0.66
Avg DD
0.00%
▼ -4.01
Risk / Reward
0.00×
Trades
11
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 — January 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
-0.3
6
7
8
-0.3
9
10
+11.6
11
12
13
14
15
16
+16.5
17
+2.4
18
19
+5.1
20
+5.3
21
+3.4
22
23
24
+4.8
25
26
27
28
29
+8.9
30
31
+1.1
Smart Insights
  • Exceptional return: +65.5% — compound across the full walk-forward window.
  • High win rate: 81.8% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.7%.
  • Strongest regime: BULL — avg +9.43% 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 9 77.8% +4.39% +46.35% 16h
BULL 2 100.0% +9.43% +19.24% 1.9d

Trade Logv4.2 Theros

All 11 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 -0.32% BUBBLE 4h
$0.00 $0.00 -0.35% BUBBLE 3h
$0.00 $0.00 +11.61% BUBBLE 1.4d
$0.00 $0.00 +16.47% BULL 3d
$0.00 $0.00 +2.38% BULL 20h
$0.00 $0.00 +5.07% BUBBLE 8h
$0.00 $0.00 +5.31% BUBBLE 3h
$0.00 $0.00 +3.44% BUBBLE 17h
$0.00 $0.00 +4.79% BUBBLE 21h
$0.00 $0.00 +8.90% BUBBLE 2.3d
$0.00 $0.00 +1.07% BUBBLE 3h

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.

81.8% Win Rate +65.5% Return -0.7% Max Drawdown Net of Fees