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

REQ Request Paper Trade

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

v4.0.1 Pythia 14 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 — January 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
9.05
Alpha vs B&H
+61.88pp
Risk / Reward
72.05×
B&H Return
-8.87%
Max Drawdown
-0.74%
Avg Drawdown
-4.76%
Sharpe Trend
-0.14
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
+53.01%
Win Rate
85.7%
Sharpe
9.05
Alpha vs B&H
+61.88pp
Max DD
-0.74%
Avg DD
-4.76%
Risk / Reward
72.05×
Trades
14
v4.0 ITZAMNÁ
Return
+53.07%
▼ -0.06
Win Rate
92.9%
▼ -7.19
Sharpe
0.00
▲ +9.05
Alpha vs B&H
+0.00pp
▲ +61.88
Max DD
-6.16%
▲ +5.42
Avg DD
0.00%
▼ -4.76
Risk / Reward
0.00×
Trades
13
Open v4.0 page →
V2.5.8.3
Return
+46.66%
▲ +6.35
Win Rate
88.9%
▼ -3.19
Sharpe
0.00
▲ +9.05
Alpha vs B&H
+0.00pp
▲ +61.88
Max DD
-0.32%
▼ -0.42
Avg DD
0.00%
▼ -4.76
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 — January 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
+0.9
6
+2.7
7
8
+0.4
9
+0.3
10
11
-0.7
12
13
14
15
+13.2
16
17
+3.8
18
19
+4.2
20
21
22
+4.7
23
24
+3.1
25
26
+3.0
27
28
29
+5.9
30
-0.2
31
+3.0
Smart Insights
  • Exceptional return: +53.0% — compound across the full walk-forward window.
  • High win rate: 85.7% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.7%.
  • Strongest regime: BULL — avg +5.42% on 3 trades, WR 67%.

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 11 90.9% +2.53% +31.40% 22h
BULL 3 66.7% +5.42% +16.64% 1.7d

Trade Logv4.2 Theros

All 14 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +0.90% BUBBLE 14h
$0.00 $0.00 +2.66% BUBBLE 16h
$0.00 $0.00 +0.35% BUBBLE 3h
$0.00 $0.00 +0.34% BUBBLE 13h
$0.00 $0.00 -0.74% BULL 1.3d
$0.00 $0.00 +13.24% BULL 2.5d
$0.00 $0.00 +3.77% BULL 1.2d
$0.00 $0.00 +4.19% BUBBLE 5h
$0.00 $0.00 +4.65% BUBBLE 1.8d
$0.00 $0.00 +3.09% BUBBLE 1.3d
$0.00 $0.00 +2.95% BUBBLE 1.3d
$0.00 $0.00 +5.85% BUBBLE 2.5d
$0.00 $0.00 -0.16% BUBBLE 12h
$0.00 $0.00 +3.02% BUBBLE 10h

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.

85.7% Win Rate +53.0% Return -0.7% Max Drawdown Net of Fees