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

INJ Injective Paper Trade

INJ — August 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

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.

Performance Monthly Calendar Day Grid Regimes Trade Log FAQ INJ Signals →

INJ — August 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%).

Monthly Return
+114.5%
€10,000 →
€21,452
Win Rate
100.0%
11W / 0L
Trades
11
Sharpe
14.73
Alpha vs B&H
+111.43pp
Risk / Reward
99+×
B&H Return
+3.09%
Max Drawdown
0.00%
Avg Drawdown
-2.48%
Sharpe Trend
-1.79
Model
v4.0.1 Pythia
Full Backtest
View →

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
+114.52%
Win Rate
100.0%
Sharpe
14.73
Alpha vs B&H
+111.43pp
Max DD
0.00%
Avg DD
-2.48%
Risk / Reward
99+×
Trades
11
V2.5.8.3
Return
+59.69%
▲ +54.83
Win Rate
78.6%
▲ +21.40
Sharpe
0.00
▲ +14.73
Alpha vs B&H
+0.00pp
▲ +111.43
Max DD
-0.18%
▲ +0.18
Avg DD
0.00%
▼ -2.48
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 — August 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
—
2
—
3
—
4
+8.1
5
—
6
—
7
—
8
+10.3
9
—
10
—
11
+4.9
12
—
13
+17.1
14
—
15
—
16
—
17
+6.5
18
—
19
—
20
+5.7
21
—
22
+12.1
23
—
24
+6.7
25
—
26
—
27
+4.6
28
+1.0
29
—
30
—
31
+0.6
Smart Insights
  • ↑ Exceptional return: +114.5% — 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: BULL — avg +8.89% on 5 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
BULL 5 100.0% +8.89% +52.43% 1.3d
SIDEWAYS 6 100.0% +5.51% +37.33% 19h

Trade Logv4.2 Theros

All 11 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +8.11% SIDEWAYS 1.5d
$0.00 $0.00 +10.28% BULL 2.4d
$0.00 $0.00 +4.89% BULL 18h
$0.00 $0.00 +17.07% BULL 1.8d
$0.00 $0.00 +6.45% BULL 13h
$0.00 $0.00 +5.74% BULL 20h
$0.00 $0.00 +12.07% SIDEWAYS 23h
$0.00 $0.00 +6.69% SIDEWAYS 9h
$0.00 $0.00 +4.61% SIDEWAYS 1.5d
$0.00 $0.00 +0.95% SIDEWAYS 9h
$0.00 $0.00 +0.60% SIDEWAYS 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.

Get Started → INJ Signals → View Plans →
100.0% Win Rate +114.5% Return 0.0% Max Drawdown Net of Fees