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

INJ Injective Paper Trade

INJ — July 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 14 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 — July 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
17.60
Alpha vs B&H
+103.61pp
Risk / Reward
99+×
B&H Return
+26.01%
Max Drawdown
0.00%
Avg Drawdown
-2.65%
Sharpe Trend
+0.46
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
+129.62%
Win Rate
100.0%
Sharpe
17.60
Alpha vs B&H
+103.61pp
Max DD
0.00%
Avg DD
-2.65%
Risk / Reward
99+×
Trades
14
v4.0 ITZAMNÁ
Return
+118.73%
▲ +10.89
Win Rate
100.0%
Sharpe
0.00
▲ +17.60
Alpha vs B&H
+0.00pp
▲ +103.61
Max DD
-3.54%
▲ +3.54
Avg DD
0.00%
▼ -2.65
Risk / Reward
0.00×
Trades
14
Open v4.0 page →
V2.5.8.3
Return
+70.51%
▲ +59.11
Win Rate
100.0%
Sharpe
0.00
▲ +17.60
Alpha vs B&H
+0.00pp
▲ +103.61
Max DD
0.00%
Avg DD
0.00%
▼ -2.65
Risk / Reward
0.00×
Trades
14
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 — 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
+3.9
7
8
9
10
11
+13.8
12
+2.8
13
+4.9
14
15
16
+9.0
17
18
+8.2
19
+3.4
20
21
+8.0
22
+4.3
23
24
+7.2
25
+4.1
26
27
+8.4
28
29
+4.9
30
+1.2
31
Smart Insights
  • Exceptional return: +129.6% — 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 +6.16% on 13 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 13 100.0% +6.16% +116.17% 22h
BULL 1 100.0% +3.87% +3.87% 12h

Trade Logv4.2 Theros

All 14 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +3.87% BULL 12h
$0.00 $0.00 +13.82% BUBBLE 3.1d
$0.00 $0.00 +2.76% BUBBLE 6h
$0.00 $0.00 +4.87% BUBBLE 1.1d
$0.00 $0.00 +8.99% BUBBLE 1.5d
$0.00 $0.00 +8.21% BUBBLE 1.1d
$0.00 $0.00 +3.39% BUBBLE 3h
$0.00 $0.00 +7.97% BUBBLE 1.3d
$0.00 $0.00 +4.27% BUBBLE 19h
$0.00 $0.00 +7.17% BUBBLE 9h
$0.00 $0.00 +4.11% BUBBLE 10h
$0.00 $0.00 +8.40% BUBBLE 1.3d
$0.00 $0.00 +4.87% BUBBLE 5h
$0.00 $0.00 +1.22% BUBBLE 3h

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.

100.0% Win Rate +129.6% Return 0.0% Max Drawdown Net of Fees