PEPE — May 2025 — Simulated live trading results using the v2.5.8.3 model.
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 (PEPE) — clean monthly entry, no carry-over from previous months. Net of trading fees (Bitvavo 0.15% + 0.25%).
All 19 trades executed during this paper trade period.
| Entry | Exit | Entry Price | Exit Price | PnL | Regime | Duration |
|---|---|---|---|---|---|---|
| 04 May 2025 05:00 | 06 May 2025 10:00 | $0.00 | $0.00 | -5.25% | BULL | 2.3d |
| 06 May 2025 23:00 | 07 May 2025 18:00 | $0.00 | $0.00 | +2.71% | BULL | 20h |
| 08 May 2025 07:00 | 08 May 2025 20:00 | $0.00 | $0.00 | +26.55% | BULL | 14h |
| 11 May 2025 09:00 | 11 May 2025 14:00 | $0.00 | $0.00 | +2.27% | BULL | 6h |
| 12 May 2025 05:00 | 14 May 2025 11:00 | $0.00 | $0.00 | +1.15% | BULL | 2.3d |
| 15 May 2025 15:00 | 16 May 2025 05:00 | $0.00 | $0.00 | -1.29% | BULL | 15h |
| 17 May 2025 19:00 | 18 May 2025 16:00 | $0.00 | $0.00 | +16.66% | BUBBLE | 22h |
| 19 May 2025 12:00 | 19 May 2025 16:00 | $0.00 | $0.00 | +5.28% | BUBBLE | 5h |
| 20 May 2025 13:00 | 20 May 2025 15:00 | $0.00 | $0.00 | +0.77% | BUBBLE | 3h |
| 21 May 2025 04:00 | 21 May 2025 13:00 | $0.00 | $0.00 | +2.01% | BUBBLE | 10h |
| 22 May 2025 02:00 | 22 May 2025 11:00 | $0.00 | $0.00 | +3.52% | BUBBLE | 10h |
| 23 May 2025 00:00 | 23 May 2025 00:00 | $0.00 | $0.00 | -0.41% | BUBBLE | 1h |
| 25 May 2025 11:00 | 25 May 2025 13:00 | $0.00 | $0.00 | +0.74% | BUBBLE | 3h |
| 26 May 2025 02:00 | 26 May 2025 07:00 | $0.00 | $0.00 | +4.68% | BUBBLE | 6h |
| 26 May 2025 20:00 | 27 May 2025 09:00 | $0.00 | $0.00 | +2.03% | BUBBLE | 14h |
| 28 May 2025 11:00 | 28 May 2025 12:00 | $0.00 | $0.00 | +0.96% | BUBBLE | 2h |
| 29 May 2025 02:00 | 29 May 2025 02:00 | $0.00 | $0.00 | -0.41% | BUBBLE | 1h |
| 30 May 2025 14:00 | 30 May 2025 14:00 | $0.00 | $0.00 | -0.41% | BUBBLE | 1h |
| 31 May 2025 03:00 | 01 Jun 2025 21:00 | $0.00 | $0.00 | +5.54% | BUBBLE | 1.8d |
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 →
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.
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.
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 →
These paper trade results show what our model delivers. Get real-time PEPE signals with entry, stop-loss, and take-profit on every trade.
Institutional-grade AI trading signals for crypto traders. Our Omniscius v2.5 ensemble model is walk-forward validated across 52 coins and 23,000+ backtested trades. No curve-fitting, no hype — just data-driven signals delivered to your Telegram.
Prices delayed up to 5 minutes. Trading and investing involve significant risk of loss. All content on this site is for informational purposes only and does not constitute financial advice. Decisions to buy, sell, or hold are best made with the advice of qualified financial professionals. Past performance does not guarantee future results.
Hypothetical or simulated performance results have inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Since the trades have not been executed, the results may have under- or over-compensated for the impact of certain market factors, including lack of liquidity. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
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