We ran simulated live trades using the AlgoZilla Omniscius v4.2 Theros model for HIGH - Highstreet. The results below give you an overview of the most important Key Performance Indicators, Equity Curve and the Trade Log as simulated by our Pythia model. The returns have been accumulated over the April 2026 period. The simulated paper trades of the model show that an initial investment at the start of the period with 28 trades would have compounded to a final value of $17,779 (from a $10,000 base). All results are net of trading fees based on Bitvavo rates (0.15% entry + 0.25% exit). The model uses a 15‑minute delay on the signal on both entries and exits to simulate possible slippage when executing orders.
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.
Highstreet (HIGH) — clean monthly entry, no carry-over from previous months. Net of trading fees (Bitvavo 0.15% + 0.25%).
1H candles for HIGH over the test window with every entry (▲ green up-arrow) and exit (▼ green = profitable, ▼ red = loss). Hover a marker for trade details.
Aggregates derived from the full 28-trade log of this period.
How the model performs across the 4 market regimes detected by Omniscius.
| Regime | Trades | Win Rate | Avg PnL | Compounded Return | Avg Hold |
|---|---|---|---|---|---|
| SIDEWAYS | 21 | 57.1% | +3.02% | +60.43% | 10h |
| BEAR | 7 | 100.0% | +1.82% | +13.40% | 14h |
All 28 trades executed during this paper trade period.
| Entry | Exit | Entry Price | Exit Price | PnL | Regime | Duration |
|---|---|---|---|---|---|---|
| 05 Apr 2026 06:00 | 06 Apr 2026 09:00 | $0.13 | $0.14 | +3.34% | BEAR | 1.2d |
| 07 Apr 2026 02:00 | 07 Apr 2026 23:00 | $0.13 | $0.14 | +3.34% | BEAR | 22h |
| 09 Apr 2026 01:00 | 09 Apr 2026 03:00 | $0.13 | $0.14 | +1.09% | BEAR | 3h |
| 10 Apr 2026 09:00 | 10 Apr 2026 11:00 | $0.13 | $0.13 | +0.35% | BEAR | 3h |
| 11 Apr 2026 10:00 | 11 Apr 2026 21:00 | $0.13 | $0.13 | +1.17% | BEAR | 12h |
| 12 Apr 2026 20:00 | 13 Apr 2026 22:00 | $0.12 | $0.13 | +2.04% | BEAR | 1.1d |
| 14 Apr 2026 08:00 | 14 Apr 2026 10:00 | $0.11 | $0.11 | +1.40% | BEAR | 3h |
| 16 Apr 2026 01:00 | 18 Apr 2026 00:00 | $0.11 | $0.18 | +59.35% | SIDEWAYS | 2d |
| 18 Apr 2026 09:00 | 18 Apr 2026 13:00 | $0.44 | $0.47 | +5.89% | SIDEWAYS | 5h |
| 18 Apr 2026 20:00 | 18 Apr 2026 22:00 | $0.32 | $0.31 | -2.29% | SIDEWAYS | 3h |
| 19 Apr 2026 02:00 | 19 Apr 2026 05:00 | $0.28 | $0.25 | -10.19% | SIDEWAYS | 4h |
| 19 Apr 2026 10:00 | 19 Apr 2026 12:00 | $0.33 | $0.32 | -3.73% | SIDEWAYS | 3h |
| 20 Apr 2026 05:00 | 20 Apr 2026 07:00 | $0.38 | $0.34 | -12.23% | SIDEWAYS | 3h |
| 20 Apr 2026 09:00 | 20 Apr 2026 17:00 | $0.33 | $0.32 | -4.58% | SIDEWAYS | 9h |
| 20 Apr 2026 20:00 | 21 Apr 2026 05:00 | $0.32 | $0.33 | +1.78% | SIDEWAYS | 10h |
| 21 Apr 2026 09:00 | 21 Apr 2026 17:00 | $0.30 | $0.31 | +5.31% | SIDEWAYS | 9h |
| 21 Apr 2026 20:00 | 22 Apr 2026 01:00 | $0.29 | $0.30 | +1.96% | SIDEWAYS | 6h |
| 22 Apr 2026 23:00 | 23 Apr 2026 12:00 | $0.25 | $0.25 | -1.59% | SIDEWAYS | 14h |
| 23 Apr 2026 18:00 | 24 Apr 2026 00:00 | $0.23 | $0.24 | +0.44% | SIDEWAYS | 7h |
| 24 Apr 2026 18:00 | 25 Apr 2026 07:00 | $0.21 | $0.24 | +12.16% | SIDEWAYS | 14h |
| 25 Apr 2026 12:00 | 25 Apr 2026 16:00 | $0.21 | $0.20 | -4.64% | SIDEWAYS | 5h |
| 26 Apr 2026 09:00 | 26 Apr 2026 13:00 | $0.25 | $0.24 | -4.41% | SIDEWAYS | 5h |
| 26 Apr 2026 19:00 | 26 Apr 2026 21:00 | $0.23 | $0.22 | -3.02% | SIDEWAYS | 3h |
| 27 Apr 2026 01:00 | 27 Apr 2026 07:00 | $0.22 | $0.24 | +7.78% | SIDEWAYS | 7h |
| 27 Apr 2026 09:00 | 27 Apr 2026 21:00 | $0.22 | $0.23 | +2.77% | SIDEWAYS | 13h |
| 28 Apr 2026 00:00 | 28 Apr 2026 02:00 | $0.22 | $0.24 | +5.87% | SIDEWAYS | 3h |
| 29 Apr 2026 11:00 | 30 Apr 2026 09:00 | $0.21 | $0.22 | +3.92% | SIDEWAYS | 23h |
| 30 Apr 2026 12:00 | 30 Apr 2026 18:00 | $0.21 | $0.21 | +2.96% | SIDEWAYS | 7h |
A paper trade simulates real signal execution without real money. Each period starts fresh with a clean $10,000 allocation — no carry-over from previous windows. This shows exactly what would have happened if you started following signals on day one of that window. View live HIGH signals →
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.
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.
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 →
These paper trade results show what our model delivers. Get real-time HIGH signals with entry, stop-loss, and take-profit on every trade.
Institutional-grade AI trading signals for crypto traders. Our ensemble models use strict walk-forward validation across multiple Bitcoin halving cycles. No curve-fitting, no hype — just data-driven signals delivered to your Telegram. Methodology and changelog are public on our About page.
Prices delayed up to 5 minutes. Trading and investing involve significant risk of loss. All content on this site is for informational purposes only and does not constitute financial advice. Decisions to buy, sell, or hold are best made with the advice of qualified financial professionals. Past performance does not guarantee future results.
Hypothetical or simulated performance results have inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Since the trades have not been executed, the results may have under- or over-compensated for the impact of certain market factors, including lack of liquidity. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
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