RNDR — January 2025 — Simulated live trading results using the v2.5.8.3 model.
Render (RNDR) is a decentralized GPU computing network that connects artists and developers needing rendering power with GPU providers. At the intersection of crypto, AI, and the metaverse, RNDR benefits from multiple narrative tailwinds. The token shows strong momentum during AI computing demand surges and has outperformed many assets during AI-driven rallies.
Render (RNDR) — clean monthly entry, no carry-over from previous months. Net of trading fees (Bitvavo 0.15% + 0.25%).
All 20 trades executed during this paper trade period.
| Entry | Exit | Entry Price | Exit Price | PnL | Regime | Duration |
|---|---|---|---|---|---|---|
| 01 Jan 2025 08:00 | 02 Jan 2025 10:00 | $6.68 | $7.84 | +17.30% | BUBBLE | 1.1d |
| 03 Jan 2025 01:00 | 04 Jan 2025 02:00 | $7.61 | $8.02 | +5.27% | BUBBLE | 1.1d |
| 06 Jan 2025 01:00 | 06 Jan 2025 16:00 | $8.27 | $8.92 | +7.76% | BUBBLE | 16h |
| 07 Jan 2025 22:00 | 08 Jan 2025 00:00 | $8.21 | $8.21 | -0.09% | BUBBLE | 3h |
| 08 Jan 2025 17:00 | 09 Jan 2025 00:00 | $7.45 | $7.56 | +1.44% | BUBBLE | 8h |
| 09 Jan 2025 13:00 | 09 Jan 2025 15:00 | $6.94 | $7.33 | +5.46% | BUBBLE | 3h |
| 10 Jan 2025 04:00 | 10 Jan 2025 10:00 | $7.26 | $7.62 | +4.76% | BUBBLE | 7h |
| 11 Jan 2025 02:00 | 11 Jan 2025 21:00 | $7.19 | $7.50 | +4.19% | BUBBLE | 20h |
| 13 Jan 2025 09:00 | 14 Jan 2025 09:00 | $6.68 | $7.25 | +8.37% | BULL | 1d |
| 15 Jan 2025 01:00 | 15 Jan 2025 22:00 | $6.96 | $7.62 | +9.41% | BULL | 22h |
| 16 Jan 2025 11:00 | 17 Jan 2025 16:00 | $7.50 | $7.99 | +6.30% | BULL | 1.3d |
| 19 Jan 2025 09:00 | 20 Jan 2025 00:00 | $7.11 | $6.52 | -8.49% | BUBBLE | 16h |
| 20 Jan 2025 18:00 | 20 Jan 2025 19:00 | $6.84 | $6.80 | -0.74% | BUBBLE | 2h |
| 21 Jan 2025 08:00 | 21 Jan 2025 18:00 | $6.61 | $7.28 | +9.91% | BUBBLE | 11h |
| 23 Jan 2025 05:00 | 24 Jan 2025 10:00 | $6.91 | $7.24 | +4.58% | BUBBLE | 1.3d |
| 25 Jan 2025 01:00 | 25 Jan 2025 02:00 | $6.90 | $6.90 | -0.16% | BUBBLE | 2h |
| 25 Jan 2025 15:00 | 26 Jan 2025 08:00 | $6.99 | $7.09 | +1.33% | BUBBLE | 18h |
| 27 Jan 2025 09:00 | 27 Jan 2025 15:00 | $6.08 | $6.36 | +4.47% | BUBBLE | 7h |
| 28 Jan 2025 21:00 | 29 Jan 2025 08:00 | $5.50 | $5.88 | +6.59% | BUBBLE | 12h |
| 30 Jan 2025 01:00 | 31 Jan 2025 04:00 | $5.59 | $5.82 | +3.74% | BUBBLE | 1.2d |
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 RNDR 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 RNDR 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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