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Crypto market · BinanceAlgorithmic Strategy Analysis: ZRX · ZRX Performance & Risk Metrics on the 15m Timeframe
An in-depth quantitative examination of the ZRX 215000 +166312.41% 1TRAD-ERX8 strategy for ZRX. This model ranks 1st for the ticker with a DevioLab Score of 88.28, achieving an 88.10% win rate and a maximum historical drawdown of only 2.64% over a 6-year test span.
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Strategy profile
The algorithmic trading model ZRX 215000 +166312.41% 1TRAD-ERX8 is engineered for spot crypto market conditions, operating on the 15-minute timeframe for the ZRX asset (trading pair ZRX). Under DevioLab quantitative evaluation framework, this system ranks number 1 for the ticker with a score of 88.28 and holds a Core strategy designation. It focuses on identifying highly selective market structural opportunities specific to ZRX.
Trading rhythm and position duration
This trading algorithm stands out for its low transaction frequency. Across the complete historical dataset spanning 6.14 years from June 21, 2020 to August 11, 2026, the strategy recorded only 42 completed trades. This represents an average trading frequency of roughly 6.84 trades per year. The model is far from high-frequency or scalping tactics, remaining flat for extended periods until precise quantitative parameters are met.
Quality of historical results
The historical performance demonstrates remarkable edge and pay-off characteristics. Out of 42 closed trades, 37 ended in profit, yielding a win rate of 88.10%. The cumulative gain across the entire dataset reached 138,962.16%, translating to an annualized return of 500.64%. The average trade returned 20.16%, with a median trade return of 16.82% and a maximum single trade return of 62.57%. The strategy achieved a profit factor of 6.88, while the top three winning trades accounted for 21.04% of total gross profit, confirming that gains are well-distributed across trades.
Risk, drawdown and losing behavior
Risk containment parameters for this strategy are exceptionally strict. The maximum historical drawdown recorded over the 6.14-year period was held to just 2.64%. The worst single trade loss was -2.64%, matching the peak drawdown level and demonstrating robust downside protection. Throughout the dataset, the system experienced only 5 losing trades in total, with a maximum consecutive losing streak of 1 trade against a maximum winning streak of 12 consecutive wins.
Behavior through time and yearly stability
With an average of less than 7 trades per year, the strategy does not force activity during choppy or unfavorable market regimes. By filtering out low-probability environments, it preserves capital during long market consolidation phases and executes only when statistical advantage aligns.
Strengths and limitations
The primary strengths of the algorithm lie in its high win rate of 88.10%, robust profit factor of 6.88, and tight peak-to-trough drawdown of 2.64%. The main limitation is the small sample size of 42 trades over 6.14 years. Traders utilizing this strategy must be prepared for long idle stretches without trade activity.
DevioLab analytical conclusion
The ZRX 215000 +166312.41% 1TRAD-ERX8 strategy earns a top analytical rating and a DevioLab Recommended classification due to its extraordinary risk-reward balance. It is well-suited for systematic portfolio allocations where capital preservation and low drawdown are prioritized over high trade volume.
Data scope and methodology
All figures presented are derived from simulated historical backtesting on 15-minute timeframe data for ZRX from June 21, 2020 through August 11, 2026. The metrics describe historical closed trades, do not represent live Binance exchange balance guarantees, and do not guarantee future returns.