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

PEPE Pepe Paper Trade

PEPE — July 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

Pepe (PEPE) is a meme coin launched in 2023 that rapidly gained market capitalization through viral community growth. With no utility beyond its meme status, PEPE is purely sentiment-driven and exhibits extreme volatility. Our model's regime detection is particularly valuable for PEPE, as it identifies when momentum is building versus when exhaustion signals appear in these high-volatility assets.

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

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

Sharpe
14.42
Alpha vs B&H
+93.16pp
Risk / Reward
99+×
B&H Return
+10.23%
Max Drawdown
0.00%
Avg Drawdown
-3.92%
Sharpe Trend
-3.41
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
+103.39%
Win Rate
100.0%
Sharpe
14.42
Alpha vs B&H
+93.16pp
Max DD
0.00%
Avg DD
-3.92%
Risk / Reward
99+×
Trades
11
v4.0 ITZAMNÁ
Return
+104.58%
▼ -1.19
Win Rate
100.0%
Sharpe
0.00
▲ +14.42
Alpha vs B&H
+0.00pp
▲ +93.16
Max DD
-4.52%
▲ +4.52
Avg DD
0.00%
▼ -3.92
Risk / Reward
0.00×
Trades
11
Open v4.0 page →
V2.5.8.3
Return
+27.33%
▲ +76.06
Win Rate
81.0%
▲ +19.00
Sharpe
0.00
▲ +14.42
Alpha vs B&H
+0.00pp
▲ +93.16
Max DD
-0.25%
▲ +0.25
Avg DD
0.00%
▼ -3.92
Risk / Reward
0.00×
Trades
21
Open page →

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

PEPE

PEPE Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +114.2%
14t
+82.3%
17t
+127.6%
12t
+92.4%
10t
+195.4%
14t
+57.4%
13t
+103.4%
11t
+47.7%
11t
+23,778.7%

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

Day-by-day — PEPE — 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
+5.1
7
8
9
10
11
+22.4
12
13
+3.0
14
15
16
+13.1
17
18
+6.1
19
20
+4.9
21
22
+3.2
23
24
+6.9
25
26
+5.5
27
+0.7
28
29
30
31
+2.4
Smart Insights
  • Exceptional return: +103.4% — compound across the full walk-forward window.
  • High win rate: 100.0% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only 0.0%.
  • Strongest regime: BUBBLE — avg +6.83% on 10 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 10 100.0% +6.83% +90.71% 1.1d
BULL 1 100.0% +5.07% +5.07% 20h

Trade Logv4.2 Theros

All 11 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +5.07% BULL 20h
$0.00 $0.00 +22.43% BUBBLE 3.4d
$0.00 $0.00 +3.01% BUBBLE 1.1d
$0.00 $0.00 +13.13% BUBBLE 1.7d
$0.00 $0.00 +6.12% BUBBLE 9h
$0.00 $0.00 +4.91% BUBBLE 14h
$0.00 $0.00 +3.16% BUBBLE 16h
$0.00 $0.00 +6.93% BUBBLE 9h
$0.00 $0.00 +5.52% BUBBLE 1.4d
$0.00 $0.00 +0.71% BUBBLE 19h
$0.00 $0.00 +2.42% BUBBLE 20h

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 PEPE 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 Pepe Smarter

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

100.0% Win Rate +103.4% Return 0.0% Max Drawdown Net of Fees