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

POL Polygon Paper Trade

POL — August 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

Polygon (POL, formerly MATIC) is an Ethereum scaling ecosystem offering multiple Layer 2 solutions including zkEVM, PoS chain, and CDK. Polygon is one of the most widely adopted scaling solutions with partnerships from major brands. POL price tracks Ethereum scaling narratives and Layer 2 competition dynamics, creating distinct trading patterns from the broader market.

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

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

Sharpe
18.00
Alpha vs B&H
+94.36pp
Risk / Reward
99+×
B&H Return
+43.38%
Max Drawdown
0.00%
Avg Drawdown
-2.51%
Sharpe Trend
+11.15
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
+137.74%
Win Rate
100.0%
Sharpe
18.00
Alpha vs B&H
+94.36pp
Max DD
0.00%
Avg DD
-2.51%
Risk / Reward
99+×
Trades
13
V2.5.8.3
Return
+84.61%
▲ +53.13
Win Rate
100.0%
Sharpe
0.00
▲ +18.00
Alpha vs B&H
+0.00pp
▲ +94.36
Max DD
0.00%
Avg DD
0.00%
▼ -2.51
Risk / Reward
0.00×
Trades
12
Open page →

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

POL

POL Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +37.1%
17t
+56.4%
14t
+52.2%
16t
+45.7%
12t
+60.7%
13t
+33.8%
10t
+93.0%
12t
+137.7%
13t
+4,588.1%

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

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
+11.0
6
7
8
9
+18.0
10
11
+1.1
12
13
14
+8.1
15
+1.1
16
17
+6.6
18
19
+8.1
20
21
+4.5
22
+7.2
23
24
+4.9
25
26
27
+4.7
28
+2.1
29
30
31
+8.3
Smart Insights
  • Exceptional return: +137.7% — compound across the full walk-forward window.
  • High win rate: 100.0% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only 0.0%.
  • Strongest regime: BULL — avg +7.32% on 8 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 8 100.0% +7.32% +74.34% 1.3d
SIDEWAYS 5 100.0% +5.42% +30.08% 19h

Trade Logv4.2 Theros

All 13 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +11.02% BULL 2.4d
$0.00 $0.00 +17.99% BULL 3.5d
$0.00 $0.00 +1.10% BULL 7h
$0.00 $0.00 +8.13% BULL 1.8d
$0.00 $0.00 +1.11% BULL 7h
$0.00 $0.00 +6.62% BULL 14h
$0.00 $0.00 +8.10% BULL 21h
$0.00 $0.00 +4.47% BULL 1.1d
$0.00 $0.00 +7.16% SIDEWAYS 19h
$0.00 $0.00 +4.85% SIDEWAYS 12h
$0.00 $0.00 +4.69% SIDEWAYS 1.7d
$0.00 $0.00 +2.11% SIDEWAYS 12h
$0.00 $0.00 +8.30% SIDEWAYS 10h

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 POL 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 Polygon Smarter

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

100.0% Win Rate +137.7% Return 0.0% Max Drawdown Net of Fees