POLPOLPolygon$0.080340+1.38%
24h High$0.08
24h Low$0.08
Volume$4.2M
Updated18:43 UTC
Modelv6.2 Pythia
Paper Trades / POL / POL — January 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 January 2025 period. The simulated paper trades of the model show that an initial investment at the start of the period with 21 trades would have compounded to a final value of $16,783 (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 21 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.

POL — January 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%).

Sharpe
13.01
Alpha vs B&H
+90.07pp
Risk / Reward
38.89×
B&H Return
-22.23%
Max Drawdown
-1.74%
Avg Drawdown
-4.56%
Sharpe Trend
+2.34
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
+37.06%
▲ +30.77
Win Rate
76.5%
▲ +4.48
Sharpe
8.84
▲ +4.17
Alpha vs B&H
+59.29pp
▲ +30.78
Max DD
-3.33%
▲ +1.59
Avg DD
-5.59%
▲ +1.03
Risk / Reward
11.14×
Trades
17
Open v4.0.1 page →
v4.0 ITZAMNÁ
Return
+33.23%
▲ +34.60
Win Rate
73.0%
▲ +7.95
Sharpe
0.00
▲ +13.01
Alpha vs B&H
+0.00pp
▲ +90.07
Max DD
-7.26%
▲ +5.52
Avg DD
0.00%
▼ -4.56
Risk / Reward
0.00×
Trades
16
Open v4.0 page →
V4.2 THEROS THIS PAGE
Return
+67.83%
Win Rate
81.0%
Sharpe
13.01
Alpha vs B&H
+90.07pp
Max DD
-1.74%
Avg DD
-4.56%
Risk / Reward
38.89×
Trades
21

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
+1.1
6
+3.4
7
8
-0.1
9
10
+2.3
11
12
13
14
15
16
+14.4
17
18
19
+6.6
20
+6.1
21
+1.4
22
23
+2.8
24
+1.7
25
+1.3
26
27
+3.7
28
29
+1.8
30
+5.8
31
+0.2

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 21-trade log of this period.

Avg Win
+3.31%
Avg Loss
-0.91%
Best Trade
+13.96%
Worst Trade
-1.74%
Avg Bars Held
11.5h
Exit-reason mix (hover badges for details)
Signal flip: 11 (52%) Forward-pred: 8 (38%) Short signal: 2 (10%)
Smart Insights
  • Exceptional return: +67.8% — compound across the full walk-forward window.
  • High win rate: 81.0% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -1.7%.
  • Strongest regime: BULL — avg +7.17% on 2 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
BUBBLE 19 78.9% +2.01% +45.32% 9h
BULL 2 100.0% +7.17% +14.38% 1.5d

Trade Logv4.2 Theros

All 21 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
05 Jan 2025 10:00 05 Jan 2025 22:00 $0.51 $0.52 +1.13% BUBBLE 13h
06 Jan 2025 01:00 06 Jan 2025 15:00 $0.51 $0.53 +3.38% BUBBLE 15h
08 Jan 2025 13:00 08 Jan 2025 23:00 $0.46 $0.46 -0.13% BUBBLE 11h
10 Jan 2025 05:00 10 Jan 2025 10:00 $0.45 $0.46 +2.30% BUBBLE 6h
13 Jan 2025 11:00 16 Jan 2025 02:00 $0.42 $0.48 +13.96% BULL 2.7d
16 Jan 2025 15:00 16 Jan 2025 21:00 $0.47 $0.48 +0.37% BULL 7h
19 Jan 2025 11:00 19 Jan 2025 14:00 $0.45 $0.48 +6.62% BUBBLE 4h
20 Jan 2025 01:00 20 Jan 2025 06:00 $0.44 $0.47 +6.83% BUBBLE 6h
20 Jan 2025 11:00 20 Jan 2025 13:00 $0.46 $0.46 -0.67% BUBBLE 3h
20 Jan 2025 18:00 21 Jan 2025 17:00 $0.45 $0.46 +2.52% BUBBLE 24h
21 Jan 2025 20:00 21 Jan 2025 23:00 $0.46 $0.45 -1.11% BUBBLE 4h
23 Jan 2025 13:00 23 Jan 2025 15:00 $0.43 $0.44 +1.81% BUBBLE 3h
23 Jan 2025 20:00 23 Jan 2025 23:00 $0.44 $0.44 +1.01% BUBBLE 4h
24 Jan 2025 03:00 24 Jan 2025 05:00 $0.43 $0.44 +1.68% BUBBLE 3h
25 Jan 2025 01:00 25 Jan 2025 03:00 $0.43 $0.44 +1.00% BUBBLE 3h
25 Jan 2025 09:00 25 Jan 2025 12:00 $0.43 $0.43 +0.26% BUBBLE 4h
27 Jan 2025 08:00 27 Jan 2025 23:00 $0.40 $0.42 +3.74% BUBBLE 16h
29 Jan 2025 01:00 29 Jan 2025 07:00 $0.39 $0.40 +1.82% BUBBLE 7h
29 Jan 2025 13:00 30 Jan 2025 16:00 $0.39 $0.42 +5.83% BUBBLE 1.2d
30 Jan 2025 18:00 31 Jan 2025 07:00 $0.42 $0.41 -1.74% BUBBLE 14h
31 Jan 2025 09:00 31 Jan 2025 11:00 $0.41 $0.42 +1.98% BUBBLE 3h

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.

81.0% Win Rate +67.8% Return -1.7% Max Drawdown Net of Fees