Paper Trades / AMP / AMP — June 2025 (v4.0.1 Pythia)
CURRENT · OMNISCIUS v4.0.1 · PYTHIA

AMP Amp Paper Trade

AMP — June 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 12 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

Amp (AMP) is a digital collateral token used by the Flexa payments network to instantly secure merchant transactions while settlement finalizes on-chain. Listed since 2020 with multi-cycle history, AMP price tends to track payments-narrative phases and Flexa partnership announcements. Liquidity is moderate and price action shows distinct mean-reversion patterns between catalysts.

AMP — June 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
6.33
Alpha vs B&H
+38.12pp
Risk / Reward
31.29×
B&H Return
-19.28%
Max Drawdown
-0.60%
Avg Drawdown
-2.74%
Sharpe Trend
-1.98
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
+18.84%
Win Rate
83.3%
Sharpe
6.33
Alpha vs B&H
+38.12pp
Max DD
-0.60%
Avg DD
-2.74%
Risk / Reward
31.29×
Trades
12
v4.0 ITZAMNÁ
Return
+16.37%
▲ +2.47
Win Rate
86.7%
▼ -3.37
Sharpe
0.00
▲ +6.33
Alpha vs B&H
+0.00pp
▲ +38.12
Max DD
-3.65%
▲ +3.05
Avg DD
0.00%
▼ -2.74
Risk / Reward
0.00×
Trades
11
Open v4.0 page →
V2.5.8.3
Return
+4.73%
▲ +14.11
Win Rate
63.6%
▲ +19.73
Sharpe
0.00
▲ +6.33
Alpha vs B&H
+0.00pp
▲ +38.12
Max DD
-1.61%
▲ +1.01
Avg DD
0.00%
▼ -2.74
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.

AMP

AMP Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +91.2%
21t
+66.2%
14t
+50.4%
20t
+49.4%
14t
+98.5%
13t
+18.8%
12t
+42.3%
12t
+68.8%
15t
+3,945.4%

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

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
+2.5
4
5
+0.1
6
7
+1.2
8
9
10
+3.9
11
12
13
14
+3.9
15
16
+4.3
17
18
-0.6
19
20
21
22
23
+2.6
24
25
-0.5
26
+2.1
27
28
29
30
+1.2
Smart Insights
  • Solid return: +18.8%, comfortably above passive hold for most months.
  • High win rate: 83.3% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.6%.
  • Strongest regime: SIDEWAYS — avg +1.63% on 5 trades, WR 80%.

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 6 83.3% +1.46% +8.97% 21h
SIDEWAYS 5 80.0% +1.63% +8.36% 22h
BUBBLE 1 100.0% +3.92% +3.92% 1.5d

Trade Logv4.2 Theros

All 12 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +2.54% BULL 15h
$0.00 $0.00 +0.09% BULL 9h
$0.00 $0.00 +1.22% BULL 1.2d
$0.00 $0.00 +3.39% SIDEWAYS 2.4d
$0.00 $0.00 +0.51% SIDEWAYS 4h
$0.00 $0.00 +3.92% BUBBLE 1.5d
$0.00 $0.00 +4.32% BULL 1.7d
$0.00 $0.00 -0.60% BULL 8h
$0.00 $0.00 +2.59% SIDEWAYS 20h
$0.00 $0.00 -0.47% SIDEWAYS 1.1d
$0.00 $0.00 +2.12% SIDEWAYS 5h
$0.00 $0.00 +1.16% BULL 1d

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 AMP 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 Amp Smarter

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

83.3% Win Rate +18.8% Return -0.6% Max Drawdown Net of Fees