POLPOLPolygon$0.080270+1.29%
24h High$0.08
24h Low$0.08
Volume$4.2M
Updated18:48 UTC
Modelv6.2 Pythia
Paper Trades / POL / POL — February 2025 (v4.2 Theros)
LEGACY · v4.2 Theros

POL Polygon Paper Trade

We ran simulated live trades using the AlgoZilla Omniscius v4.2 Theros model for POL - Polygon. 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 $15,860 (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%)

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.

Performance Price & Trades Trade Stats Day Grid Regimes Trade Log FAQ POL Signals →

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

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

Monthly Return
+58.6%
$10,000 →
$15,860
Win Rate
94.4%
17W / 1L
Trades
18
Sharpe
10.24
Alpha vs B&H
+87.75pp
Risk / Reward
81.55×
B&H Return
-29.15%
Max Drawdown
-0.72%
Avg Drawdown
-5.30%
Sharpe Trend
-0.98
Model
v4.2 Theros
Full Backtest
View →

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
+56.35%
▲ +2.25
Win Rate
92.9%
▲ +1.58
Sharpe
12.06
▼ -1.82
Alpha vs B&H
+85.50pp
▲ +2.25
Max DD
-0.41%
▼ -0.31
Avg DD
-3.36%
▼ -1.94
Risk / Reward
99+×
Trades
14
Open v4.0.1 page →
v4.0 ITZAMNÁ
Return
+63.47%
▼ -4.87
Win Rate
93.8%
▲ +0.64
Sharpe
0.00
▲ +10.24
Alpha vs B&H
+0.00pp
▲ +87.75
Max DD
-4.01%
▲ +3.29
Avg DD
0.00%
▼ -5.30
Risk / Reward
0.00×
Trades
14
Open v4.0 page →
V4.2 THEROS THIS PAGE
Return
+58.60%
Win Rate
94.4%
Sharpe
10.24
Alpha vs B&H
+87.75pp
Max DD
-0.72%
Avg DD
-5.30%
Risk / Reward
81.55×
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 — POL — February 2025 (v4.2 Theros) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
—
2
—
3
+4.3
4
—
5
+3.4
6
—
7
+4.9
8
—
9
+6.7
10
—
11
+9.8
12
+6.0
13
+0.4
14
—
15
+2.4
16
+3.1
17
+3.1
18
—
19
—
20
—
21
+2.3
22
—
23
+0.0
24
—
25
—
26
+6.2
27
+4.4
28
—

Price & trade markersv4.2 Theros

1H candles for POL 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
+3.39%
Avg Loss
-0.72%
Best Trade
+9.79%
Worst Trade
-0.72%
Avg Bars Held
18.1h
Exit-reason mix (hover badges for details)
Signal flip: 10 (56%) Forward-pred: 8 (44%)
Smart Insights
  • ↑ Exceptional return: +58.6% — compound across the full walk-forward window.
  • ↑ High win rate: 94.4% — 4 in 5 trades close in profit.
  • ↑ Tight risk control: max drawdown only -0.7%.
  • ↑ Strongest regime: SIDEWAYS — avg +3.09% on 17 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 17 94.1% +3.09% +66.81% 18h
BULL 1 100.0% +4.26% +4.26% 19h

Trade Logv4.2 Theros

All 18 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
03 Feb 2025 01:00 03 Feb 2025 19:00 $0.32 $0.33 +4.26% BULL 19h
04 Feb 2025 20:00 05 Feb 2025 13:00 $0.31 $0.32 +3.36% BUBBLE 18h
06 Feb 2025 17:00 07 Feb 2025 13:00 $0.30 $0.32 +4.88% SIDEWAYS 21h
07 Feb 2025 21:00 09 Feb 2025 03:00 $0.30 $0.32 +6.70% SIDEWAYS 1.3d
09 Feb 2025 22:00 11 Feb 2025 05:00 $0.29 $0.33 +9.79% SIDEWAYS 1.3d
12 Feb 2025 01:00 12 Feb 2025 22:00 $0.31 $0.33 +5.95% SIDEWAYS 22h
13 Feb 2025 00:00 13 Feb 2025 01:00 $0.33 $0.33 +0.44% SIDEWAYS 2h
13 Feb 2025 15:00 15 Feb 2025 03:00 $0.31 $0.33 +3.10% SIDEWAYS 1.5d
15 Feb 2025 12:00 15 Feb 2025 14:00 $0.32 $0.32 -0.72% SIDEWAYS 3h
16 Feb 2025 02:00 16 Feb 2025 17:00 $0.32 $0.33 +2.55% SIDEWAYS 16h
16 Feb 2025 19:00 16 Feb 2025 22:00 $0.32 $0.33 +0.51% SIDEWAYS 4h
17 Feb 2025 08:00 17 Feb 2025 10:00 $0.32 $0.33 +0.79% SIDEWAYS 3h
17 Feb 2025 19:00 17 Feb 2025 21:00 $0.31 $0.32 +2.31% SIDEWAYS 3h
18 Feb 2025 16:00 21 Feb 2025 01:00 $0.30 $0.30 +1.63% SIDEWAYS 2.4d
21 Feb 2025 03:00 21 Feb 2025 05:00 $0.30 $0.31 +0.67% SIDEWAYS 3h
23 Feb 2025 16:00 23 Feb 2025 18:00 $0.29 $0.29 +0.04% SIDEWAYS 3h
25 Feb 2025 01:00 26 Feb 2025 10:00 $0.26 $0.28 +6.18% SIDEWAYS 1.4d
26 Feb 2025 18:00 27 Feb 2025 09:00 $0.27 $0.28 +4.40% SIDEWAYS 16h

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 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.

Get Started → POL Signals → View Plans →
94.4% Win Rate +58.6% Return -0.7% Max Drawdown Net of Fees