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

INJ Injective Paper Trade

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

v4.0.1 Pythia 13 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 — January 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
14.16
Alpha vs B&H
+106.77pp
Risk / Reward
35.19×
B&H Return
-13.86%
Max Drawdown
-2.64%
Avg Drawdown
-4.13%
Sharpe Trend
+4.54
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
+92.91%
Win Rate
92.3%
Sharpe
14.16
Alpha vs B&H
+106.77pp
Max DD
-2.64%
Avg DD
-4.13%
Risk / Reward
35.19×
Trades
13
v4.0 ITZAMNÁ
Return
+90.41%
▲ +2.50
Win Rate
90.0%
▲ +2.31
Sharpe
0.00
▲ +14.16
Alpha vs B&H
+0.00pp
▲ +106.77
Max DD
-4.56%
▲ +1.92
Avg DD
0.00%
▼ -4.13
Risk / Reward
0.00×
Trades
13
Open v4.0 page →
V2.5.8.3
Return
+62.24%
▲ +30.67
Win Rate
76.5%
▲ +15.81
Sharpe
0.00
▲ +14.16
Alpha vs B&H
+0.00pp
▲ +106.77
Max DD
-3.29%
▲ +0.65
Avg DD
0.00%
▼ -4.13
Risk / Reward
0.00×
Trades
17
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 — January 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
6
+13.1
7
8
+0.7
9
+1.9
10
11
-2.6
12
13
14
15
16
+19.3
17
18
19
+4.6
20
+13.2
21
+10.5
22
23
+3.4
24
+1.6
25
26
27
+4.0
28
29
+2.1
30
+4.3
31
Smart Insights
  • Exceptional return: +92.9% — compound across the full walk-forward window.
  • High win rate: 92.3% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -2.6%.
  • Strongest regime: BULL — avg +8.31% on 2 trades, WR 50%.

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 11 100.0% +5.39% +76.45% 10h
BULL 2 50.0% +8.31% +16.10% 1.8d

Trade Logv4.2 Theros

All 13 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +13.12% BUBBLE 16h
$0.00 $0.00 +0.69% BUBBLE 3h
$0.00 $0.00 +1.85% BUBBLE 6h
$0.00 $0.00 -2.64% BULL 24h
$0.00 $0.00 +19.25% BULL 2.6d
$0.00 $0.00 +4.63% BUBBLE 3h
$0.00 $0.00 +13.19% BUBBLE 6h
$0.00 $0.00 +10.47% BUBBLE 21h
$0.00 $0.00 +3.38% BUBBLE 9h
$0.00 $0.00 +1.55% BUBBLE 8h
$0.00 $0.00 +4.00% BUBBLE 9h
$0.00 $0.00 +2.14% BUBBLE 18h
$0.00 $0.00 +4.25% BUBBLE 14h

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.

92.3% Win Rate +92.9% Return -2.6% Max Drawdown Net of Fees