INJINJInjective$4.9950-1.96%
24h High$5.18
24h Low$4.90
Volume$4.4M
Updated18:03 UTC
Modelv6.2 Pythia
Paper Trades / INJ / INJ — February 2025 (v4.2 Theros)
LEGACY · v4.2 Theros

INJ Injective Paper Trade

We ran simulated live trades using the AlgoZilla Omniscius v4.2 Theros model for INJ - Injective. The results below give you an overview of the most important Key Performance Indicators, Equity Curve and the Trade Log as simulated by our Pythia model. The returns have been accumulated over the February 2025 period. The simulated paper trades of the model show that an initial investment at the start of the period with 18 trades would have compounded to a final value of $24,848 (from a $10,000 base). All results are net of trading fees based on Bitvavo rates (0.15% entry + 0.25% exit). The model uses a 15‑minute delay on the signal on both entries and exits to simulate possible slippage when executing orders.

v4.2 Theros 18 Trades Completed
Walk-forward validated Net of fees (0.15% / 0.25%)

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 — February 2025 (v4.2 Theros) Performancev4.2 Theros

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

Sharpe
15.29
Alpha vs B&H
+176.95pp
Risk / Reward
99+×
B&H Return
-28.47%
Max Drawdown
-1.33%
Avg Drawdown
-4.49%
Sharpe Trend
-2.84
Model
v4.2 Theros
Full Backtest

Side-by-side: model versions

Same coin, same period, same data window — different model. All walk-forward validated. v5.0 (Kairos) is the current production model (live since 11 May 2026); v4.2 (Theros) was the predecessor; v4.0.1 (Pythia) and v4.0 (Itzamná) confirmed the statistical edge during 2025; v2.5 is the legacy baseline.

v4.0.1 PYTHIA
Return
+167.74%
▼ -19.26
Win Rate
100.0%
▼ -11.11
Sharpe
18.57
▼ -3.29
Alpha vs B&H
+196.21pp
▼ -19.26
Max DD
0.00%
▼ -1.33
Avg DD
-3.64%
▼ -0.85
Risk / Reward
99+×
Trades
15
Open v4.0.1 page →
v4.0 ITZAMNÁ
Return
+148.21%
▲ +0.27
Win Rate
100.0%
▼ -11.11
Sharpe
0.00
▲ +15.29
Alpha vs B&H
+0.00pp
▲ +176.95
Max DD
-4.99%
▲ +3.66
Avg DD
0.00%
▼ -4.49
Risk / Reward
0.00×
Trades
12
Open v4.0 page →
V4.2 THEROS THIS PAGE
Return
+148.48%
Win Rate
88.9%
Sharpe
15.29
Alpha vs B&H
+176.95pp
Max DD
-1.33%
Avg DD
-4.49%
Risk / Reward
99+×
Trades
18

Δ-arrows on the counterpart cards show this page minus that version. Higher return / WR = better; smaller (less negative) Max DD = better.

Day-by-day — INJ — February 2025 (v4.2 Theros) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
+24.8
4
+2.5
5
6
7
+9.6
8
9
+9.3
10
+11.5
11
+3.5
12
13
+9.9
14
+0.2
15
+2.0
16
17
+7.6
18
19
20
+11.9
21
22
23
+4.1
24
25
+0.7
26
+2.8
27
+5.1
28

Price & trade markersv4.2 Theros

1H candles for INJ over the test window with every entry (▲ green up-arrow) and exit (▼ green = profitable, ▼ red = loss). Hover a marker for trade details.

Loading 1H candles…
Entry Profit exit Loss exit Powered by TradingView Lightweight Charts

Trade statisticsv4.2 Theros

Aggregates derived from the full 18-trade log of this period.

Avg Win
+6.75%
Avg Loss
-1.30%
Best Trade
+24.80%
Worst Trade
-1.33%
Avg Bars Held
16.8h
Exit-reason mix (hover badges for details)
Signal flip: 9 (50%) Forward-pred: 8 (44%) Take-profit: 1 (6%)
Smart Insights
  • Exceptional return: +148.5% — compound across the full walk-forward window.
  • High win rate: 88.9% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -1.3%.
  • Strongest regime: SIDEWAYS — avg +4.88% on 16 trades, WR 88%.

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
SIDEWAYS 16 87.5% +4.88% +111.54% 17h
BULL 1 100.0% +24.80% +24.80% 20h
BUBBLE 1 100.0% +2.46% +2.46% 4h

Trade Logv4.2 Theros

All 18 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
03 Feb 2025 02:00 03 Feb 2025 21:00 $12.76 $15.99 +24.80% BULL 20h
04 Feb 2025 08:00 04 Feb 2025 11:00 $14.03 $14.42 +2.46% BUBBLE 4h
06 Feb 2025 19:00 07 Feb 2025 13:00 $13.15 $14.45 +9.61% SIDEWAYS 19h
08 Feb 2025 04:00 09 Feb 2025 03:00 $13.11 $14.36 +9.33% SIDEWAYS 24h
09 Feb 2025 20:00 10 Feb 2025 08:00 $13.65 $14.86 +8.66% SIDEWAYS 13h
10 Feb 2025 10:00 10 Feb 2025 17:00 $14.47 $14.87 +2.60% SIDEWAYS 8h
10 Feb 2025 21:00 11 Feb 2025 05:00 $14.70 $15.24 +3.51% SIDEWAYS 9h
12 Feb 2025 09:00 13 Feb 2025 01:00 $13.94 $15.35 +9.94% SIDEWAYS 17h
13 Feb 2025 03:00 14 Feb 2025 08:00 $15.24 $15.29 +0.17% SIDEWAYS 1.3d
15 Feb 2025 21:00 15 Feb 2025 23:00 $14.97 $15.29 +1.97% SIDEWAYS 3h
16 Feb 2025 18:00 17 Feb 2025 12:00 $14.67 $15.85 +7.60% SIDEWAYS 19h
18 Feb 2025 17:00 20 Feb 2025 06:00 $13.48 $15.31 +13.29% SIDEWAYS 1.6d
20 Feb 2025 08:00 20 Feb 2025 13:00 $15.69 $15.52 -1.27% SIDEWAYS 6h
21 Feb 2025 20:00 23 Feb 2025 21:00 $15.33 $15.99 +4.11% SIDEWAYS 2.1d
25 Feb 2025 08:00 25 Feb 2025 12:00 $13.33 $13.44 +0.66% SIDEWAYS 5h
25 Feb 2025 14:00 26 Feb 2025 05:00 $13.20 $13.59 +2.79% SIDEWAYS 16h
26 Feb 2025 18:00 27 Feb 2025 10:00 $12.91 $13.77 +6.49% SIDEWAYS 17h
27 Feb 2025 12:00 27 Feb 2025 16:00 $13.63 $13.47 -1.33% SIDEWAYS 5h

Frequently Asked Questions

What is a paper trade?

A paper trade simulates real signal execution without real money. Each period starts fresh with a clean $10,000 allocation — no carry-over from previous windows. This shows exactly what would have happened if you started following signals on day one of that window. 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.

88.9% Win Rate +148.5% Return -1.3% Max Drawdown Net of Fees