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

PEPE Pepe Paper Trade

PEPE — August 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 — August 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
7.04
Alpha vs B&H
+54.14pp
Risk / Reward
12.33×
B&H Return
-6.48%
Max Drawdown
-3.87%
Avg Drawdown
-2.52%
Sharpe Trend
-5.76
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
+47.66%
Win Rate
90.9%
Sharpe
7.04
Alpha vs B&H
+54.14pp
Max DD
-3.87%
Avg DD
-2.52%
Risk / Reward
12.33×
Trades
11
V2.5.8.3
Return
+12.81%
▲ +34.85
Win Rate
68.8%
▲ +22.11
Sharpe
0.00
▲ +7.04
Alpha vs B&H
+0.00pp
▲ +54.14
Max DD
-1.63%
▼ -2.24
Avg DD
0.00%
▼ -2.52
Risk / Reward
0.00×
Trades
16
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 — August 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
+1.8
5
6
7
8
+17.2
9
10
11
12
13
14
+7.8
15
16
17
+2.5
18
19
20
21
+4.0
22
-3.9
23
24
+4.8
25
+1.5
26
27
+1.5
28
29
+0.6
30
31
Smart Insights
  • Exceptional return: +47.7% — compound across the full walk-forward window.
  • High win rate: 90.9% — 4 in 5 trades close in profit.
  • Strongest regime: BULL — avg +7.86% on 4 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 4 100.0% +7.86% +34.57% 1.6d
SIDEWAYS 7 85.7% +0.89% +6.22% 12h

Trade Logv4.2 Theros

All 11 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +1.81% SIDEWAYS 1.1d
$0.00 $0.00 +17.22% BULL 2.9d
$0.00 $0.00 +7.80% BULL 2d
$0.00 $0.00 +2.45% BULL 14h
$0.00 $0.00 +3.95% BULL 1d
$0.00 $0.00 -3.87% SIDEWAYS 12h
$0.00 $0.00 +4.77% SIDEWAYS 9h
$0.00 $0.00 +1.46% SIDEWAYS 3h
$0.00 $0.00 +1.48% SIDEWAYS 16h
$0.00 $0.00 +0.09% SIDEWAYS 9h
$0.00 $0.00 +0.52% SIDEWAYS 8h

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.

90.9% Win Rate +47.7% Return -3.9% Max Drawdown Net of Fees