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

REQ Request Paper Trade

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

v4.0.1 Pythia 10 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 — April 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
9.25
Alpha vs B&H
+21.39pp
Risk / Reward
99+×
B&H Return
+17.60%
Max Drawdown
-0.16%
Avg Drawdown
-4.76%
Sharpe Trend
+2.60
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
+38.99%
Win Rate
90.0%
Sharpe
9.25
Alpha vs B&H
+21.39pp
Max DD
-0.16%
Avg DD
-4.76%
Risk / Reward
99+×
Trades
10
v4.0 ITZAMNÁ
Return
+38.43%
▲ +0.56
Win Rate
90.0%
Sharpe
0.00
▲ +9.25
Alpha vs B&H
+0.00pp
▲ +21.39
Max DD
-6.20%
▲ +6.04
Avg DD
0.00%
▼ -4.76
Risk / Reward
0.00×
Trades
10
Open v4.0 page →
V2.5.8.3
Return
+35.09%
▲ +3.90
Win Rate
87.5%
▲ +2.50
Sharpe
0.00
▲ +9.25
Alpha vs B&H
+0.00pp
▲ +21.39
Max DD
-0.92%
▲ +0.76
Avg DD
0.00%
▼ -4.76
Risk / Reward
0.00×
Trades
16
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 — April 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
8
+2.0
9
+10.1
10
11
+1.5
12
+3.2
13
14
+1.0
15
16
17
18
19
20
21
22
+8.0
23
24
25
+2.3
26
-0.2
27
28
29
+2.3
30
+2.3
Smart Insights
  • Exceptional return: +39.0% — compound across the full walk-forward window.
  • High win rate: 90.0% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.2%.
  • Strongest regime: SIDEWAYS — avg +4.01% on 7 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
SIDEWAYS 7 100.0% +4.01% +31.27% 1.3d
BULL 3 66.7% +1.51% +4.57% 23h

Trade Logv4.2 Theros

All 10 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +2.01% SIDEWAYS 22h
$0.00 $0.00 +10.11% SIDEWAYS 1d
$0.00 $0.00 +1.49% SIDEWAYS 1.3d
$0.00 $0.00 +3.24% SIDEWAYS 10h
$0.00 $0.00 +0.96% SIDEWAYS 1.1d
$0.00 $0.00 +7.99% SIDEWAYS 2.6d
$0.00 $0.00 +2.30% SIDEWAYS 1.9d
$0.00 $0.00 -0.16% BULL 12h
$0.00 $0.00 +2.34% BULL 1.5d
$0.00 $0.00 +2.34% BULL 19h

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.

90.0% Win Rate +39.0% Return -0.2% Max Drawdown Net of Fees