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

HIGH Highstreet Paper Trade

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

v4.0.1 Pythia 11 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

Highstreet (HIGH) is a metaverse commerce platform that combines gaming, virtual real estate, and physical-product redemption. Listed via Binance Launchpad in late 2021 with multi-cycle history. Price reacts to metaverse-narrative phases, gaming-cycle rotations, and brand-partnership announcements.

HIGH — April 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
10.15
Alpha vs B&H
+86.34pp
Risk / Reward
99+×
B&H Return
+30.17%
Max Drawdown
-0.74%
Avg Drawdown
-5.19%
Sharpe Trend
+2.66
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
+116.50%
Win Rate
81.8%
Sharpe
10.15
Alpha vs B&H
+86.34pp
Max DD
-0.74%
Avg DD
-5.19%
Risk / Reward
99+×
Trades
11
v4.0 ITZAMNÁ
Return
+188.95%
▼ -72.45
Win Rate
90.0%
▼ -8.18
Sharpe
0.00
▲ +10.15
Alpha vs B&H
+0.00pp
▲ +86.34
Max DD
-9.50%
▲ +8.76
Avg DD
0.00%
▼ -5.19
Risk / Reward
0.00×
Trades
10
Open v4.0 page →
V2.5.8.3
Return
+74.11%
▲ +42.39
Win Rate
81.3%
▲ +0.52
Sharpe
0.00
▲ +10.15
Alpha vs B&H
+0.00pp
▲ +86.34
Max DD
-0.64%
▼ -0.10
Avg DD
0.00%
▼ -5.19
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.

HIGH

HIGH Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +68.7%
12t
+46.8%
17t
+75.9%
14t
+116.5%
11t
+119.5%
15t
+57.0%
12t
+79.7%
12t
+79.6%
11t
+10,385.4%

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

Day-by-day — HIGH — 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
+2.5
9
+11.6
10
11
12
+4.2
13
14
+3.3
15
16
17
18
19
+34.4
20
21
22
+7.3
23
24
25
+5.6
26
0.0
27
28
29
+21.6
30
-0.7
Smart Insights
  • Exceptional return: +116.5% — compound across the full walk-forward window.
  • High win rate: 81.8% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.7%.
  • Strongest regime: SIDEWAYS — avg +8.57% on 8 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 8 100.0% +8.57% +87.17% 1.0d
BULL 3 33.3% +6.95% +20.69% 14h

Trade Logv4.2 Theros

All 11 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +2.46% SIDEWAYS 1d
$0.00 $0.00 +11.62% SIDEWAYS 20h
$0.00 $0.00 +4.16% SIDEWAYS 1.5d
$0.00 $0.00 +3.26% SIDEWAYS 18h
$0.00 $0.00 +34.36% SIDEWAYS 2.5d
$0.00 $0.00 +2.34% SIDEWAYS 3h
$0.00 $0.00 +4.81% SIDEWAYS 9h
$0.00 $0.00 +5.58% SIDEWAYS 1.2d
$0.00 $0.00 -0.03% BULL 7h
$0.00 $0.00 +21.63% BULL 1.1d
$0.00 $0.00 -0.74% BULL 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 HIGH 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 Highstreet Smarter

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

81.8% Win Rate +116.5% Return -0.7% Max Drawdown Net of Fees