Paper Trades / INJ / INJ — June 2025 (v4.0.1 Pythia)
CURRENT · OMNISCIUS v4.0.1 · PYTHIA

INJ Injective Paper Trade

INJ — June 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

Injective (INJ) is a Cosmos-based Layer 1 specifically built for decentralized derivatives, perpetuals, and financial applications. Listed since 2020, INJ has multi-cycle history with strong cyclical behaviour around DeFi and derivatives narratives. Price tends to outperform during DeFi-rotation phases and underperform in pure memecoin cycles.

INJ — June 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
9.68
Alpha vs B&H
+72.07pp
Risk / Reward
63.17×
B&H Return
-11.55%
Max Drawdown
-0.96%
Avg Drawdown
-4.17%
Sharpe Trend
-17.61
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
+60.52%
Win Rate
83.3%
Sharpe
9.68
Alpha vs B&H
+72.07pp
Max DD
-0.96%
Avg DD
-4.17%
Risk / Reward
63.17×
Trades
12
v4.0 ITZAMNÁ
Return
+60.65%
▼ -0.13
Win Rate
60.0%
▲ +23.33
Sharpe
0.00
▲ +9.68
Alpha vs B&H
+0.00pp
▲ +72.07
Max DD
-5.71%
▲ +4.75
Avg DD
0.00%
▼ -4.17
Risk / Reward
0.00×
Trades
12
Open v4.0 page →
V2.5.8.3
Return
+26.12%
▲ +34.40
Win Rate
84.6%
▼ -1.27
Sharpe
0.00
▲ +9.68
Alpha vs B&H
+0.00pp
▲ +72.07
Max DD
-3.01%
▲ +2.05
Avg DD
0.00%
▼ -4.17
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.

INJ

INJ Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +92.9%
13t
+167.7%
15t
+92.3%
14t
+74.6%
9t
+140.0%
15t
+60.5%
12t
+129.6%
14t
+114.5%
11t
+32,800.0%

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

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
+0.4
3
4
+2.7
5
6
7
8
+12.8
9
10
+4.8
11
+3.2
12
13
14
+1.3
15
16
+6.5
17
18
19
+5.1
20
21
-0.7
22
23
24
+16.1
25
+1.8
26
27
28
29
-1.0
30
Smart Insights
  • Exceptional return: +60.5% — compound across the full walk-forward window.
  • High win rate: 83.3% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -1.0%.
  • Strongest regime: SIDEWAYS — avg +5.50% on 4 trades, WR 75%.

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
BULL 6 83.3% +4.45% +29.12% 1.2d
SIDEWAYS 4 75.0% +5.50% +22.98% 19h
BUBBLE 2 100.0% +2.28% +4.59% 9h

Trade Logv4.2 Theros

All 12 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +0.44% BULL 21h
$0.00 $0.00 +2.74% BULL 1.2d
$0.00 $0.00 +12.80% BULL 2.2d
$0.00 $0.00 +4.77% SIDEWAYS 1.2d
$0.00 $0.00 +3.23% BUBBLE 4h
$0.00 $0.00 +1.32% BUBBLE 13h
$0.00 $0.00 +6.53% BULL 1.3d
$0.00 $0.00 +5.14% BULL 1.1d
$0.00 $0.00 -0.70% SIDEWAYS 7h
$0.00 $0.00 +16.11% SIDEWAYS 1.5d
$0.00 $0.00 +1.81% SIDEWAYS 3h
$0.00 $0.00 -0.96% BULL 12h

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 INJ 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 Injective Smarter

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

83.3% Win Rate +60.5% Return -1.0% Max Drawdown Net of Fees