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

GRT The Graph Paper Trade

GRT — August 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 10 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

The Graph (GRT) is a decentralized indexing and query protocol that powers thousands of dApps and DeFi front-ends. Active since 2020, GRT has full multi-cycle history. Price correlates with DeFi activity, Ethereum ecosystem health, and AI-data narratives given its role in providing structured blockchain data.

GRT — August 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
13.32
Alpha vs B&H
+75.94pp
Risk / Reward
80.85×
B&H Return
-1.26%
Max Drawdown
-0.92%
Avg Drawdown
-2.67%
Sharpe Trend
-28.35
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
+74.69%
Win Rate
80.0%
Sharpe
13.32
Alpha vs B&H
+75.94pp
Max DD
-0.92%
Avg DD
-2.67%
Risk / Reward
80.85×
Trades
10
V2.5.8.3
Return
+45.44%
▲ +29.25
Win Rate
100.0%
▼ -20.00
Sharpe
0.00
▲ +13.32
Alpha vs B&H
+0.00pp
▲ +75.94
Max DD
0.00%
▼ -0.92
Avg DD
0.00%
▼ -2.67
Risk / Reward
0.00×
Trades
11
Open page →

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

GRT

GRT Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +62.2%
13t
+110.1%
13t
+38.4%
19t
+70.1%
13t
+134.3%
16t
+37.5%
11t
+97.6%
15t
+74.7%
10t
+8,814.8%

All months for GRT under this model. Click a cell to drill into that month's trade log. Color intensity = magnitude.

Day-by-day — GRT — August 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
+4.6
5
6
7
8
9
+11.9
10
11
+4.5
12
13
+10.5
14
15
16
17
18
19
20
+4.0
21
22
+8.4
23
24
+4.5
25
26
27
+6.4
28
-0.7
29
30
31
-0.2
Smart Insights
  • Exceptional return: +74.7% — compound across the full walk-forward window.
  • High win rate: 80.0% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.9%.
  • Strongest regime: BULL — avg +7.71% on 4 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 4 100.0% +7.71% +34.30% 1.7d
SIDEWAYS 6 66.7% +3.81% +24.76% 21h

Trade Logv4.2 Theros

All 10 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +4.58% SIDEWAYS 1.6d
$0.00 $0.00 +11.87% BULL 3.9d
$0.00 $0.00 +4.51% BULL 15h
$0.00 $0.00 +10.49% BULL 1.5d
$0.00 $0.00 +3.96% BULL 19h
$0.00 $0.00 +8.36% SIDEWAYS 20h
$0.00 $0.00 +4.45% SIDEWAYS 11h
$0.00 $0.00 +6.38% SIDEWAYS 2d
$0.00 $0.00 -0.73% SIDEWAYS 5h
$0.00 $0.00 -0.19% SIDEWAYS 2h

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 GRT 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 The Graph Smarter

These paper trade results show what our model delivers. Get real-time GRT signals with entry, stop-loss, and take-profit on every trade.

80.0% Win Rate +74.7% Return -0.9% Max Drawdown Net of Fees