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

SHIB Shiba Inu Paper Trade

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

v4.0.1 Pythia 10 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

Shiba Inu (SHIB) emerged as a meme coin in 2020 and has evolved into a broader ecosystem including ShibaSwap DEX and Shibarium Layer 2. With an enormous circulating supply, SHIB trades at fraction-of-a-cent prices but achieves significant market cap through volume. Its extreme volatility and community-driven price action require precise entry and exit timing that algorithmic models excel at.

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

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

Sharpe
12.97
Alpha vs B&H
+46.22pp
Risk / Reward
23.77×
B&H Return
+7.38%
Max Drawdown
-2.25%
Avg Drawdown
-3.15%
Sharpe Trend
+3.55
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
+53.60%
Win Rate
80.0%
Sharpe
12.97
Alpha vs B&H
+46.22pp
Max DD
-2.25%
Avg DD
-3.15%
Risk / Reward
23.77×
Trades
10
v4.0 ITZAMNÁ
Return
+56.18%
▼ -2.58
Win Rate
80.0%
Sharpe
0.00
▲ +12.97
Alpha vs B&H
+0.00pp
▲ +46.22
Max DD
-3.36%
▲ +1.11
Avg DD
0.00%
▼ -3.15
Risk / Reward
0.00×
Trades
10
Open v4.0 page →
V2.5.8.3
Return
+37.65%
▲ +15.95
Win Rate
81.3%
▼ -1.30
Sharpe
0.00
▲ +12.97
Alpha vs B&H
+0.00pp
▲ +46.22
Max DD
-0.31%
▼ -1.94
Avg DD
0.00%
▼ -3.15
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.

SHIB

SHIB Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +39.4%
18t
+43.9%
12t
+85.2%
14t
+53.6%
10t
+70.8%
15t
+29.7%
8t
+88.4%
14t
+55.2%
16t
+3,597.5%

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

Day-by-day — SHIB — 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
8
9
+13.1
10
11
12
+7.5
13
14
15
16
-0.4
17
18
19
+2.4
20
-2.3
21
+1.4
22
23
+8.5
24
25
26
+8.4
27
28
+5.1
29
30
Smart Insights
  • Exceptional return: +53.6% — compound across the full walk-forward window.
  • High win rate: 80.0% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -2.3%.
  • Strongest regime: BULL — avg +6.77% on 2 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
SIDEWAYS 8 75.0% +4.86% +44.89% 24h
BULL 2 100.0% +6.77% +13.96% 1.1d

Trade Logv4.2 Theros

All 10 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +8.61% SIDEWAYS 8h
$0.00 $0.00 +13.09% SIDEWAYS 20h
$0.00 $0.00 +7.53% SIDEWAYS 1.9d
$0.00 $0.00 -0.41% SIDEWAYS 3h
$0.00 $0.00 +2.38% SIDEWAYS 2.8d
$0.00 $0.00 -2.25% SIDEWAYS 9h
$0.00 $0.00 +1.44% SIDEWAYS 14h
$0.00 $0.00 +8.51% SIDEWAYS 24h
$0.00 $0.00 +8.39% BULL 1.9d
$0.00 $0.00 +5.14% BULL 9h

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 SHIB 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 Shiba Inu Smarter

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

80.0% Win Rate +53.6% Return -2.3% Max Drawdown Net of Fees