INJINJInjective$4.9800-2.26%
24h High$5.18
24h Low$4.90
Volume$4.4M
Updated17:58 UTC
Modelv6.2 Pythia
Paper Trades / INJ / INJ — March 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 March 2025 period. The simulated paper trades of the model show that an initial investment at the start of the period with 20 trades would have compounded to a final value of $20,956 (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 20 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 — March 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
10.03
Alpha vs B&H
+142.85pp
Risk / Reward
13.98×
B&H Return
-33.29%
Max Drawdown
-7.84%
Avg Drawdown
-5.00%
Sharpe Trend
-8.89
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
+92.26%
▲ +17.30
Win Rate
85.7%
▲ +4.29
Sharpe
11.26
▼ -1.23
Alpha vs B&H
+125.55pp
▲ +17.30
Max DD
-3.36%
▼ -4.48
Avg DD
-3.56%
▼ -1.44
Risk / Reward
27.44×
Trades
14
Open v4.0.1 page →
v4.0 ITZAMNÁ
Return
+81.98%
▲ +27.58
Win Rate
88.9%
▲ +1.10
Sharpe
0.00
▲ +10.03
Alpha vs B&H
+0.00pp
▲ +142.85
Max DD
-7.19%
▼ -0.65
Avg DD
0.00%
▼ -5.00
Risk / Reward
0.00×
Trades
14
Open v4.0 page →
V4.2 THEROS THIS PAGE
Return
+109.56%
Win Rate
90.0%
Sharpe
10.03
Alpha vs B&H
+142.85pp
Max DD
-7.84%
Avg DD
-5.00%
Risk / Reward
13.98×
Trades
20

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 — March 2025 (v4.2 Theros) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
-2.3
3
+9.2
4
5
6
+15.6
7
+1.4
8
+1.5
9
10
+6.5
11
+1.5
12
+13.4
13
14
+10.0
15
+0.3
16
17
+4.3
18
19
+7.5
20
21
22
+1.7
23
+1.3
24
+6.7
25
26
27
28
29
30
+0.8
31

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 20-trade log of this period.

Avg Win
+4.96%
Avg Loss
-5.04%
Best Trade
+12.53%
Worst Trade
-7.83%
Avg Bars Held
16.2h
Exit-reason mix (hover badges for details)
Forward-pred: 7 (35%) Signal flip: 5 (25%) Short signal: 3 (15%) Stop-loss: 2 (10%) Trailing stop: 2 (10%) Take-profit: 1 (5%)
Smart Insights
  • Exceptional return: +109.6% — compound across the full walk-forward window.
  • High win rate: 90.0% — 4 in 5 trades close in profit.
  • Strongest regime: SIDEWAYS — avg +4.02% on 18 trades, WR 94%.

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 18 94.4% +4.02% +99.99% 17h
BEAR 2 50.0% +3.46% +6.70% 12h

Trade Logv4.2 Theros

All 20 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
02 Mar 2025 02:00 02 Mar 2025 07:00 $13.01 $12.78 -2.25% BEAR 6h
02 Mar 2025 09:00 03 Mar 2025 01:00 $12.75 $13.97 +9.16% BEAR 17h
04 Mar 2025 13:00 06 Mar 2025 00:00 $10.75 $12.12 +12.53% BEAR 1.5d
06 Mar 2025 02:00 06 Mar 2025 03:00 $12.30 $12.66 +2.73% SIDEWAYS 2h
06 Mar 2025 20:00 07 Mar 2025 13:00 $11.66 $11.84 +1.38% SIDEWAYS 18h
08 Mar 2025 17:00 08 Mar 2025 22:00 $11.07 $11.25 +1.46% SIDEWAYS 6h
09 Mar 2025 23:00 10 Mar 2025 10:00 $9.45 $10.08 +6.50% SIDEWAYS 12h
11 Mar 2025 00:00 11 Mar 2025 08:00 $8.85 $9.40 +6.04% SIDEWAYS 9h
11 Mar 2025 10:00 11 Mar 2025 14:00 $9.54 $8.81 -7.83% SIDEWAYS 5h
11 Mar 2025 16:00 11 Mar 2025 18:00 $9.11 $9.48 +3.90% SIDEWAYS 3h
12 Mar 2025 00:00 12 Mar 2025 12:00 $9.10 $9.87 +8.29% SIDEWAYS 13h
12 Mar 2025 15:00 12 Mar 2025 22:00 $9.24 $9.69 +4.70% SIDEWAYS 8h
13 Mar 2025 14:00 14 Mar 2025 16:00 $9.23 $10.17 +10.01% SIDEWAYS 1.1d
14 Mar 2025 18:00 15 Mar 2025 05:00 $10.12 $10.16 +0.26% SIDEWAYS 12h
16 Mar 2025 13:00 17 Mar 2025 17:00 $9.65 $10.11 +4.34% SIDEWAYS 1.2d
18 Mar 2025 14:00 19 Mar 2025 23:00 $9.49 $10.23 +7.46% SIDEWAYS 1.4d
21 Mar 2025 11:00 22 Mar 2025 14:00 $9.58 $9.78 +1.74% SIDEWAYS 1.2d
22 Mar 2025 16:00 23 Mar 2025 09:00 $9.86 $10.01 +1.33% SIDEWAYS 18h
23 Mar 2025 15:00 24 Mar 2025 20:00 $9.85 $10.53 +6.70% SIDEWAYS 1.3d
30 Mar 2025 02:00 30 Mar 2025 12:00 $8.81 $8.92 +0.83% SIDEWAYS 11h

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.

90.0% Win Rate +109.6% Return -7.8% Max Drawdown Net of Fees