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

SOL Solana Paper Trade

SOL — 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

Solana (SOL) is a high-throughput blockchain capable of processing thousands of transactions per second at extremely low fees. Launched in 2020, it rapidly became a leading platform for DeFi, NFTs, and meme coins. Solana experienced significant drawdowns during the FTX collapse in 2022 but staged a remarkable recovery. Its high volatility and strong trending behavior make it an excellent candidate for momentum-based trading signals.

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

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

Sharpe
14.32
Alpha vs B&H
+48.00pp
Risk / Reward
99+×
B&H Return
+16.20%
Max Drawdown
0.00%
Avg Drawdown
-2.70%
Sharpe Trend
+0.14
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
+64.21%
Win Rate
100.0%
Sharpe
14.32
Alpha vs B&H
+48.00pp
Max DD
0.00%
Avg DD
-2.70%
Risk / Reward
99+×
Trades
11
v4.0 ITZAMNÁ
Return
+69.21%
▼ -5.00
Win Rate
100.0%
Sharpe
0.00
▲ +14.32
Alpha vs B&H
+0.00pp
▲ +48.00
Max DD
-2.88%
▲ +2.88
Avg DD
0.00%
▼ -2.70
Risk / Reward
0.00×
Trades
11
Open v4.0 page →
OMNISCIUS V2.0
Return
+30.36%
▲ +33.85
Win Rate
0.0%
▲ +100.00
Sharpe
0.00
▲ +14.32
Alpha vs B&H
+0.00pp
▲ +48.00
Max DD
0.00%
Avg DD
0.00%
▼ -2.70
Risk / Reward
0.00×
Trades
0
Open page →

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

SOL

SOL Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +118.1%
16t
+56.5%
14t
+96.7%
16t
+78.2%
13t
+48.7%
10t
+48.4%
12t
+64.2%
11t
+93.9%
12t
+8,310.9%

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

Day-by-day — SOL — 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
7
+2.8
8
9
10
+6.7
11
12
13
14
+5.2
15
16
17
+6.5
18
+5.1
19
20
21
+10.7
22
+0.9
23
24
+4.6
25
26
+4.5
27
28
+2.3
29
30
31
+2.0
Smart Insights
  • Exceptional return: +64.2% — 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 +4.45% 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% +4.45% +54.07% 1.2d
BULL 1 100.0% +6.69% +6.69% 2.3d

Trade Logv4.2 Theros

All 11 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +2.79% BUBBLE 1.5d
$0.00 $0.00 +6.69% BULL 2.3d
$0.00 $0.00 +5.17% BUBBLE 1.6d
$0.00 $0.00 +6.54% BUBBLE 1.8d
$0.00 $0.00 +5.11% BUBBLE 13h
$0.00 $0.00 +10.68% BUBBLE 1.9d
$0.00 $0.00 +0.89% BUBBLE 12h
$0.00 $0.00 +4.56% BUBBLE 9h
$0.00 $0.00 +4.46% BUBBLE 1.6d
$0.00 $0.00 +2.30% BUBBLE 21h
$0.00 $0.00 +2.00% 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 SOL 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 Solana Smarter

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

100.0% Win Rate +64.2% Return 0.0% Max Drawdown Net of Fees