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

HIGH Highstreet Paper Trade

HIGH — August 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 — August 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
12.38
Alpha vs B&H
+82.65pp
Risk / Reward
99+×
B&H Return
-3.04%
Max Drawdown
0.00%
Avg Drawdown
-3.08%
Sharpe Trend
-2.64
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
+79.61%
Win Rate
100.0%
Sharpe
12.38
Alpha vs B&H
+82.65pp
Max DD
0.00%
Avg DD
-3.08%
Risk / Reward
99+×
Trades
11
V2.5.8.3
Return
+37.94%
▲ +41.67
Win Rate
92.3%
▲ +7.70
Sharpe
0.00
▲ +12.38
Alpha vs B&H
+0.00pp
▲ +82.65
Max DD
-0.23%
▲ +0.23
Avg DD
0.00%
▼ -3.08
Risk / Reward
0.00×
Trades
13
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 — August 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
+4.7
6
7
8
9
+14.3
10
11
+5.2
12
13
+8.2
14
15
16
17
+0.8
18
19
+1.8
20
+6.1
21
22
+10.1
23
24
+4.1
25
26
27
+5.3
28
29
30
+1.1
31
Smart Insights
  • Exceptional return: +79.6% — compound across the full walk-forward window.
  • High win rate: 100.0% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only 0.0%.
  • Strongest regime: BULL — avg +5.87% 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
BULL 7 100.0% +5.87% +48.27% 1.5d
SIDEWAYS 4 100.0% +5.15% +22.00% 1.1d

Trade Logv4.2 Theros

All 11 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +4.69% BULL 2d
$0.00 $0.00 +14.28% BULL 3.9d
$0.00 $0.00 +5.20% BULL 14h
$0.00 $0.00 +8.22% BULL 2d
$0.00 $0.00 +0.79% BULL 8h
$0.00 $0.00 +1.81% BULL 17h
$0.00 $0.00 +6.08% BULL 1.1d
$0.00 $0.00 +10.05% SIDEWAYS 21h
$0.00 $0.00 +4.14% SIDEWAYS 12h
$0.00 $0.00 +5.27% SIDEWAYS 2d
$0.00 $0.00 +1.12% SIDEWAYS 24h

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.

100.0% Win Rate +79.6% Return 0.0% Max Drawdown Net of Fees