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

AMP Amp Paper Trade

AMP — May 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

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 — May 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
10.36
Alpha vs B&H
+96.36pp
Risk / Reward
63.95×
B&H Return
+2.13%
Max Drawdown
-1.54%
Avg Drawdown
-3.96%
Sharpe Trend
-1.90
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
+98.49%
Win Rate
84.6%
Sharpe
10.36
Alpha vs B&H
+96.36pp
Max DD
-1.54%
Avg DD
-3.96%
Risk / Reward
63.95×
Trades
13
v4.0 ITZAMNÁ
Return
+100.92%
▼ -2.43
Win Rate
83.8%
▲ +0.82
Sharpe
0.00
▲ +10.36
Alpha vs B&H
+0.00pp
▲ +96.36
Max DD
-4.40%
▲ +2.86
Avg DD
0.00%
▼ -3.96
Risk / Reward
0.00×
Trades
13
Open v4.0 page →
V2.5.8.3
Return
+56.50%
▲ +41.99
Win Rate
92.3%
▼ -7.68
Sharpe
0.00
▲ +10.36
Alpha vs B&H
+0.00pp
▲ +96.36
Max DD
-0.82%
▼ -0.72
Avg DD
0.00%
▼ -3.96
Risk / Reward
0.00×
Trades
13
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 — May 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
+3.1
6
-1.5
7
8
9
10
11
+14.3
12
13
14
+26.1
15
16
+4.0
17
18
+3.6
19
+6.3
20
+1.2
21
22
23
+2.8
24
+3.0
25
-0.2
26
27
28
29
+2.5
30
31
+5.4
Smart Insights
  • Exceptional return: +98.5% — compound across the full walk-forward window.
  • High win rate: 84.6% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -1.5%.
  • Strongest regime: BULL — avg +9.20% 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 5 80.0% +9.20% +52.21% 1.3d
BUBBLE 8 87.5% +3.06% +27.03% 17h

Trade Logv4.2 Theros

All 13 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +3.05% BULL 19h
$0.00 $0.00 -1.54% BULL 7h
$0.00 $0.00 +14.31% BULL 3.6d
$0.00 $0.00 +26.14% BULL 1.5d
$0.00 $0.00 +4.04% BULL 7h
$0.00 $0.00 +3.58% BUBBLE 15h
$0.00 $0.00 +6.33% BUBBLE 8h
$0.00 $0.00 +1.20% BUBBLE 9h
$0.00 $0.00 +2.76% BUBBLE 2.1d
$0.00 $0.00 +2.97% BUBBLE 23h
$0.00 $0.00 -0.23% BUBBLE 3h
$0.00 $0.00 +2.46% BUBBLE 11h
$0.00 $0.00 +5.37% BUBBLE 14h

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.

84.6% Win Rate +98.5% Return -1.5% Max Drawdown Net of Fees