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

REQ Request Paper Trade

REQ — 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

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 — June 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
9.71
Alpha vs B&H
+22.36pp
Risk / Reward
42.94×
B&H Return
-1.59%
Max Drawdown
-0.48%
Avg Drawdown
-2.47%
Sharpe Trend
+0.02
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
+20.77%
Win Rate
75.0%
Sharpe
9.71
Alpha vs B&H
+22.36pp
Max DD
-0.48%
Avg DD
-2.47%
Risk / Reward
42.94×
Trades
12
v4.0 ITZAMNÁ
Return
+20.77%
Win Rate
81.1%
▼ -6.10
Sharpe
0.00
▲ +9.71
Alpha vs B&H
+0.00pp
▲ +22.36
Max DD
-3.95%
▲ +3.47
Avg DD
0.00%
▼ -2.47
Risk / Reward
0.00×
Trades
12
Open v4.0 page →
V2.5.8.3
Return
+18.02%
▲ +2.75
Win Rate
64.3%
▲ +10.70
Sharpe
0.00
▲ +9.71
Alpha vs B&H
+0.00pp
▲ +22.36
Max DD
-2.05%
▲ +1.57
Avg DD
0.00%
▼ -2.47
Risk / Reward
0.00×
Trades
14
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 — June 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
+2.1
2
3
4
+3.1
5
-0.4
6
7
+3.9
8
+1.7
9
10
+2.3
11
12
13
14
15
0.0
16
17
18
19
+1.3
20
21
-0.5
22
23
+1.6
24
+0.6
25
26
27
28
29
30
+1.7
Smart Insights
  • Solid return: +20.8%, comfortably above passive hold for most months.
  • Healthy win rate: 75.0%.
  • Tight risk control: max drawdown only -0.5%.
  • Strongest regime: BULL — avg +1.62% on 7 trades, WR 71%.

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 7 71.4% +1.62% +11.80% 1.1d
SIDEWAYS 4 75.0% +0.99% +3.99% 17h
BUBBLE 1 100.0% +2.05% +2.05% 11h

Trade Logv4.2 Theros

All 12 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +2.05% BUBBLE 11h
$0.00 $0.00 +3.09% BULL 2.2d
$0.00 $0.00 -0.41% BULL 10h
$0.00 $0.00 +3.91% BULL 2d
$0.00 $0.00 +1.71% BULL 11h
$0.00 $0.00 +2.33% SIDEWAYS 20h
$0.00 $0.00 -0.04% BULL 15h
$0.00 $0.00 +1.33% BULL 18h
$0.00 $0.00 -0.48% SIDEWAYS 7h
$0.00 $0.00 +1.55% SIDEWAYS 1d
$0.00 $0.00 +0.55% SIDEWAYS 15h
$0.00 $0.00 +1.72% 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 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 +20.8% Return -0.5% Max Drawdown Net of Fees