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Our recommendation: for your first setup, use Core 1 — DevioLab’s primary, more protected selection. Core 2 is intended for users who knowingly accept higher risk and deeper drawdowns.
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What are Core 1 and Core 2?
DevioLab analyzes crypto and stock-market strategies and builds ready-made selections so you do not have to manually review hundreds of options.
★ Core 1
A DevioLab-selected collection of crypto and stock strategies recommended as the primary, more balanced and protected starting choice, with emphasis on risk and drawdown control.
◆ Core 2
A separate, more aggressive DevioLab selection for users who knowingly accept higher risk and deeper drawdowns in exchange for potentially higher returns.
Selected strategy overview

VIRTUALUSDT

Crypto market · Binance
VIRTUAL 215000 +4289.21% 1TRAD-YXW9
Recommended by DevioLab · Core 1 iPrimary DevioLab recommendation: a more protected, smoother and more stable profile focused on risk and drawdown control.
Recommended by DevioLab · Core 2 iMore aggressive DevioLab recommendation: accepts higher risk and deeper drawdowns in exchange for potentially higher returns.
13Trades
92.3%Win rate
+38.56%Avg trade
+113.53%Best trade
-0.65%Worst trade
+4,289.2%Annualized
Strategy analytical profile · 432e8d5a65836e58

Quantitative Strategy Analysis of VIRTUAL · VIRTUAL on 15m Timeframe

An analytical study of the VIRTUAL 215000 +4289.21% 1TRAD-YXW9 quantitative strategy, ranked first for the VIRTUAL digital asset with a DevioLab Score of 80.72 based on 13 historical trades over 1.34 years.

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Strategy profile

This algorithmic setup is configured for trading the VIRTUAL cryptocurrency asset using 15-minute price bars. Within the comprehensive model catalog for this ticker, the strategy holds the top position with a verified DevioLab Score of 80.72. Categorized as a core strategy model, its architectural focus relies on highly selective trade execution aimed at capturing major trend expansions while minimizing overall exposure to market noise.

Trading rhythm and position duration

The strategy exhibits a highly conservative trading cadence. Across the entire sample period of 1.34 years, spanning from April 11, 2025 to August 13, 2026, the model logged exactly 13 closed positions. This equates to an annualized frequency of approximately 9.70 trades per year. While granular hourly holding times are not recorded in the source dataset, the low trade count indicates a focus on prolonged positional shifts rather than frequent short-term churn.

Quality of historical results

Over the evaluated timeline, the strategy generated a cumulative historical return of 4289.21%. The core driver of performance is an exceptional win rate of 92.31%, reflecting 12 winning trades against a single losing trade. The average gain per trade stands at 38.56%, alongside a median trade return of 18.10%. The single best trade achieved a gain of 113.53%, contributing to an overall profit factor of 5.63. Notably, the top 3 winning trades generated 59.18% of total gross profit.

Risk, drawdown and losing behavior

Risk metrics for this setup are remarkably tight. The maximum observed equity drawdown across the backtest was limited to 0.65%. The sole losing trade yielded a loss of just -0.6462%, which also represents the strategy worst individual trade result. The longest winning streak reached 7 consecutive profitable trades, whereas the maximum losing streak was capped at 1 loss. Such behavior highlights strict loss-containment dynamics.

Behavior through time and yearly stability

Given that the total dataset covers 1.34 years, individual calendar year statistics are not broken down into multi-year sub-tables in the source data. The overall annualized figure reflects the 4289.21% gain across the whole timeline. With only 13 total trades executed, returns are concentrated around distinct market moves in the VIRTUAL asset rather than steady month-over-month distribution.

Strengths and limitations

Key strengths of the model include an extraordinarily high win rate of 92.31%, a peak drawdown kept to 0.65%, and a robust profit factor of 5.63. Conversely, the primary limitation is the small sample size of 13 trades. Furthermore, with 59.18% of gross profits tied to the top 3 winning trades, long-term performance remains dependent on capturing high-magnitude move opportunities.

DevioLab analytical conclusion

The VIRTUAL 215000 +4289.21% 1TRAD-YXW9 strategy demonstrates impressive historical efficiency, earning its rank as the top-performing model for VIRTUAL with a DevioLab Score of 80.72. Its ability to generate substantial capital growth with negligible historical drawdown is notable. However, DevioLab analysts emphasize that the limited trade frequency requires careful risk management when evaluating future projections.

Data scope and methodology

This analysis relies on simulated trade performance for the VIRTUAL crypto asset on 15-minute bars between April 11, 2025 and August 13, 2026. All percentage metrics reflect historical closed backtest trades. They do not represent guaranteed real-time Binance exchange performance and do not constitute financial advice.

Full strategy analysis