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

INJ Injective Paper Trade

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

v4.0.1 Pythia 15 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 — May 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
16.33
Alpha vs B&H
+113.66pp
Risk / Reward
53.74×
B&H Return
+26.30%
Max Drawdown
-2.60%
Avg Drawdown
-4.69%
Sharpe Trend
+1.59
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
+139.96%
Win Rate
86.7%
Sharpe
16.33
Alpha vs B&H
+113.66pp
Max DD
-2.60%
Avg DD
-4.69%
Risk / Reward
53.74×
Trades
15
v4.0 ITZAMNÁ
Return
+141.30%
▼ -1.34
Win Rate
90.0%
▼ -3.33
Sharpe
0.00
▲ +16.33
Alpha vs B&H
+0.00pp
▲ +113.66
Max DD
-6.83%
▲ +4.23
Avg DD
0.00%
▼ -4.69
Risk / Reward
0.00×
Trades
14
Open v4.0 page →
V2.5.8.3
Return
+63.95%
▲ +76.01
Win Rate
88.2%
▼ -1.53
Sharpe
0.00
▲ +16.33
Alpha vs B&H
+0.00pp
▲ +113.66
Max DD
-3.53%
▲ +0.93
Avg DD
0.00%
▼ -4.69
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 — May 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
+2.0
6
7
8
9
+31.7
10
11
12
+8.6
13
+3.9
14
15
16
-2.6
17
18
+8.9
19
20
+5.5
21
+2.5
22
23
+11.2
24
+5.2
25
26
+8.2
27
28
+7.4
29
30
+3.8
31
+4.3
Smart Insights
  • Exceptional return: +140.0% — compound across the full walk-forward window.
  • High win rate: 86.7% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -2.6%.
  • Strongest regime: BULL — avg +7.31% on 6 trades, WR 67%.

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 9 100.0% +6.32% +73.16% 18h
BULL 6 66.7% +7.31% +47.77% 24h

Trade Logv4.2 Theros

All 15 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +2.04% BULL 9h
$0.00 $0.00 +31.71% BULL 3d
$0.00 $0.00 +8.60% BULL 22h
$0.00 $0.00 -2.17% BULL 7h
$0.00 $0.00 +6.25% BULL 8h
$0.00 $0.00 -2.60% BULL 24h
$0.00 $0.00 +8.90% BUBBLE 14h
$0.00 $0.00 +5.45% BUBBLE 15h
$0.00 $0.00 +2.47% BUBBLE 21h
$0.00 $0.00 +11.22% BUBBLE 1.1d
$0.00 $0.00 +5.22% BUBBLE 10h
$0.00 $0.00 +8.23% BUBBLE 1.3d
$0.00 $0.00 +7.39% BUBBLE 24h
$0.00 $0.00 +3.76% BUBBLE 4h
$0.00 $0.00 +4.27% BUBBLE 19h

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.

86.7% Win Rate +140.0% Return -2.6% Max Drawdown Net of Fees