Paper Trades / RNDR / RNDR — April 2025 (v4.0.1 Pythia)
CURRENT · OMNISCIUS v4.0.1 · PYTHIA

RNDR Render Paper Trade

RNDR — April 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 12 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

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.

RNDR — April 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
14.51
Alpha vs B&H
+80.54pp
Risk / Reward
99+×
B&H Return
+41.48%
Max Drawdown
-0.12%
Avg Drawdown
-7.31%
Sharpe Trend
+3.12
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
+122.02%
Win Rate
91.7%
Sharpe
14.51
Alpha vs B&H
+80.54pp
Max DD
-0.12%
Avg DD
-7.31%
Risk / Reward
99+×
Trades
12
v4.0 ITZAMNÁ
Return
+94.62%
▲ +27.40
Win Rate
100.0%
▼ -8.33
Sharpe
0.00
▲ +14.51
Alpha vs B&H
+0.00pp
▲ +80.54
Max DD
-11.37%
▲ +11.25
Avg DD
0.00%
▼ -7.31
Risk / Reward
0.00×
Trades
11
Open v4.0 page →
V2.5.8.3
Return
+57.71%
▲ +64.31
Win Rate
100.0%
▼ -8.33
Sharpe
0.00
▲ +14.51
Alpha vs B&H
+0.00pp
▲ +80.54
Max DD
0.00%
▼ -0.12
Avg DD
0.00%
▼ -7.31
Risk / Reward
0.00×
Trades
13
Open page →

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

RNDR

RNDR Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +95.3%
18t
+104.5%
12t
+58.4%
18t
+122.0%
12t
+110.1%
15t
+42.2%
13t
+82.7%
11t
+69.7%
11t
+12,912.7%

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

Day-by-day — RNDR — April 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
6
7
8
+6.4
9
+21.4
10
11
+14.2
12
13
14
+3.9
15
16
+2.2
17
+8.5
18
19
20
+2.2
21
22
23
+5.1
24
+7.5
25
-0.1
26
27
28
29
+9.5
30
Smart Insights
  • Exceptional return: +122.0% — compound across the full walk-forward window.
  • High win rate: 91.7% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.1%.
  • Strongest regime: SIDEWAYS — avg +6.48% on 11 trades, WR 91%.

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
SIDEWAYS 11 90.9% +6.48% +96.05% 17h
BULL 1 100.0% +9.46% +9.46% 1.0d

Trade Logv4.2 Theros

All 12 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +6.40% SIDEWAYS 1.4d
$0.00 $0.00 +21.43% SIDEWAYS 21h
$0.00 $0.00 +14.18% SIDEWAYS 1.3d
$0.00 $0.00 +3.90% SIDEWAYS 20h
$0.00 $0.00 +2.17% SIDEWAYS 12h
$0.00 $0.00 +8.49% SIDEWAYS 13h
$0.00 $0.00 +0.53% SIDEWAYS 3h
$0.00 $0.00 +1.70% SIDEWAYS 3h
$0.00 $0.00 +5.09% SIDEWAYS 1.6d
$0.00 $0.00 +7.53% SIDEWAYS 7h
$0.00 $0.00 -0.12% SIDEWAYS 5h
$0.00 $0.00 +9.46% BULL 1d

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 RNDR 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 Render Smarter

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

91.7% Win Rate +122.0% Return -0.1% Max Drawdown Net of Fees