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

AMP Amp Paper Trade

AMP — July 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 — July 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
12.59
Alpha vs B&H
+37.24pp
Risk / Reward
99+×
B&H Return
+5.09%
Max Drawdown
-0.29%
Avg Drawdown
-2.61%
Sharpe Trend
-5.69
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
+42.33%
Win Rate
91.7%
Sharpe
12.59
Alpha vs B&H
+37.24pp
Max DD
-0.29%
Avg DD
-2.61%
Risk / Reward
99+×
Trades
12
v4.0 ITZAMNÁ
Return
+34.55%
▲ +7.78
Win Rate
82.9%
▲ +8.77
Sharpe
0.00
▲ +12.59
Alpha vs B&H
+0.00pp
▲ +37.24
Max DD
-3.37%
▲ +3.08
Avg DD
0.00%
▼ -2.61
Risk / Reward
0.00×
Trades
12
Open v4.0 page →
V2.5.8.3
Return
+39.70%
▲ +2.63
Win Rate
66.7%
▲ +24.97
Sharpe
0.00
▲ +12.59
Alpha vs B&H
+0.00pp
▲ +37.24
Max DD
-1.36%
▲ +1.07
Avg DD
0.00%
▼ -2.61
Risk / Reward
0.00×
Trades
21
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 — July 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
6
7
+0.4
8
9
10
11
+12.9
12
+0.6
13
14
+5.6
15
16
17
+4.4
18
+5.1
19
20
+3.4
21
22
-0.3
23
24
+3.7
25
26
27
+3.0
28
29
30
31
+2.2
Smart Insights
  • Exceptional return: +42.3% — compound across the full walk-forward window.
  • High win rate: 91.7% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.3%.
  • Strongest regime: BUBBLE — avg +3.41% on 12 trades, WR 92%.

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 12 91.7% +3.41% +48.53% 1.1d

Trade Logv4.2 Theros

All 12 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +0.38% BUBBLE 14h
$0.00 $0.00 +12.89% BUBBLE 3.9d
$0.00 $0.00 +0.58% BUBBLE 2h
$0.00 $0.00 +5.24% BUBBLE 1.4d
$0.00 $0.00 +0.36% BUBBLE 3h
$0.00 $0.00 +4.40% BUBBLE 1.8d
$0.00 $0.00 +5.06% BUBBLE 9h
$0.00 $0.00 +3.44% BUBBLE 17h
$0.00 $0.00 -0.29% BUBBLE 3h
$0.00 $0.00 +3.65% BUBBLE 15h
$0.00 $0.00 +2.99% BUBBLE 2.3d
$0.00 $0.00 +2.17% BUBBLE 18h

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.

91.7% Win Rate +42.3% Return -0.3% Max Drawdown Net of Fees