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Crypto market · BinanceBCH · BCH: Quantitative Algorithmic Strategy Performance Analysis
A historical backtest evaluation of a core trading model for BCH over 6.14 years. The strategy delivered a 75.65% win rate, a 5.0 profit factor, and ranks first for the asset under DevioLab scoring.
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Strategy profile
The algorithmic model named BCH 215000 +89764.29% 1TRAD-YMC9 holds the rank 1 position for the cryptocurrency asset BCH on DevioLab. With an overall DevioLab score of 70.25, this strategy operates as a core model on a 15-minute timeframe. The evaluation dataset spans from June 21, 2020, to August 11, 2026, representing a total history of 6.14 years in the spot-style crypto market.
Trading rhythm and position duration
Across the entire 6.14-year period, the system completed 115 closed trades, translating to an average frequency of 18.73 trades per year. This demonstrates a highly selective trading pace on the 15-minute chart, entering positions only when specific criteria are satisfied. While average and median holding hours are not explicitly recorded in the dataset summary, the low annual trade count points to extended waiting periods between trades.
Quality of historical results
Historical execution shows high precision, with 87 winning trades and 28 losing trades out of 115, yielding a 75.65% win rate and a profit factor of 5.0. The average trade gain stands at 6.68%, aligning closely with the median trade gain of 6.67%. The best single trade achieved a gain of 40.60%. Over the full testing window, cumulative profit reached 64922.97%, with an annualized return figure of 356.44%. The top 3 winning trades generated 10.80% of total gross profit, confirming that gains are spread broadly across successful trades rather than concentrated in a few outliers.
Risk, drawdown and losing behavior
Despite the high win rate, the strategy experiences significant downside amplitude during adverse market moves. The single worst trade recorded a loss of -42.72%, matching the maximum drawdown of 42.72%. The longest consecutive losing streak was capped at 3 trades, whereas the longest winning streak reached 9 consecutive winning trades.
Behavior through time and yearly stability
The evaluation dataset covers more than six years of market movement for BCH. Although individual yearly performance metrics are not specified in the underlying log, the macro metrics derived from 115 trades over 6.14 years indicate a long-term systematic structure that avoids overtrading during unfavorable market environments.
Strengths and limitations
Key strengths of the model include a strong win rate of 75.65%, a profit factor of 5.0, and balanced gross profit distribution with the top 3 winners making up only 10.80% of total gains. Its primary limitations are the substantial maximum drawdown of 42.72%, a worst single trade loss of -42.72%, and extended inactive periods, such as having no completed trades after June 2024.
DevioLab analytical conclusion
Achieving a DevioLab score of 70.25 and rank 1 status for BCH, this strategy demonstrates robust historical mathematical expectation. It stands out for high trade consistency and steady gain distribution, though risk parameters must be factored in due to the recorded peak drawdown magnitude.
Data scope and methodology
This analysis relies strictly on historical simulated closed trade outputs for BCH covering the period from June 21, 2020, through August 11, 2026. All reported percentage gains describe past simulated results and do not represent guaranteed future returns.