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

REQ Request Paper Trade

REQ — May 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 16 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

Request (REQ) powers a decentralized network for payment requests, invoicing, and accounting on Ethereum. Active since 2017, REQ has full multi-cycle history including DeFi-summer rallies and subsequent drawdowns. Price tends to respond to enterprise integration news and broader payments-narrative shifts. Mid-cap liquidity produces consistent trending behaviour that systematic strategies can capture.

REQ — May 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
7.86
Alpha vs B&H
+13.14pp
Risk / Reward
13.09×
B&H Return
+11.09%
Max Drawdown
-1.85%
Avg Drawdown
-2.36%
Sharpe Trend
+1.86
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
+24.23%
Win Rate
75.0%
Sharpe
7.86
Alpha vs B&H
+13.14pp
Max DD
-1.85%
Avg DD
-2.36%
Risk / Reward
13.09×
Trades
16
v4.0 ITZAMNÁ
Return
+25.86%
▼ -1.63
Win Rate
80.0%
▼ -5.00
Sharpe
0.00
▲ +7.86
Alpha vs B&H
+0.00pp
▲ +13.14
Max DD
-3.46%
▲ +1.61
Avg DD
0.00%
▼ -2.36
Risk / Reward
0.00×
Trades
14
Open v4.0 page →
V2.5.8.3
Return
+34.18%
▼ -9.95
Win Rate
72.2%
▲ +2.80
Sharpe
0.00
▲ +7.86
Alpha vs B&H
+0.00pp
▲ +13.14
Max DD
-1.38%
▼ -0.47
Avg DD
0.00%
▼ -2.36
Risk / Reward
0.00×
Trades
18
Open page →

Δ-arrows on the counterpart cards show this page minus that version. Higher return / WR = better; smaller (less negative) Max DD = better.

REQ

REQ Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +53.0%
14t
+77.4%
16t
+41.8%
20t
+39.0%
10t
+24.2%
16t
+20.8%
12t
+30.2%
11t
+22.5%
11t
+1,180.5%

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

Day-by-day — REQ — May 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
+7.7
8
+1.5
9
10
11
+0.9
12
+0.5
13
14
+2.2
15
16
17
18
+3.6
19
+0.1
20
+1.0
21
22
+5.9
23
-0.8
24
-0.3
25
+0.1
26
27
+1.4
28
+1.8
29
-0.1
30
-1.8
31
Smart Insights
  • Solid return: +24.2%, comfortably above passive hold for most months.
  • Healthy win rate: 75.0%.
  • Tight risk control: max drawdown only -1.9%.
  • Strongest regime: BULL — avg +2.56% on 5 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
BULL 5 100.0% +2.56% +13.29% 1.1d
BUBBLE 11 63.6% +0.98% +11.05% 9h

Trade Logv4.2 Theros

All 16 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +7.70% BULL 2.3d
$0.00 $0.00 +1.50% BULL 12h
$0.00 $0.00 +0.87% BULL 1.6d
$0.00 $0.00 +0.52% BULL 18h
$0.00 $0.00 +2.21% BULL 13h
$0.00 $0.00 +3.58% BUBBLE 15h
$0.00 $0.00 +0.06% BUBBLE 3h
$0.00 $0.00 +0.99% BUBBLE 10h
$0.00 $0.00 +5.87% BUBBLE 16h
$0.00 $0.00 -0.80% BUBBLE 3h
$0.00 $0.00 -0.34% BUBBLE 12h
$0.00 $0.00 +0.08% BUBBLE 6h
$0.00 $0.00 +1.41% BUBBLE 13h
$0.00 $0.00 +1.77% BUBBLE 3h
$0.00 $0.00 -0.07% BUBBLE 16h
$0.00 $0.00 -1.79% BUBBLE 3h

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 REQ 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 Request Smarter

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

75.0% Win Rate +24.2% Return -1.9% Max Drawdown Net of Fees