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Crypto market · BinanceA · A 15m Algorithmic Analysis for A 215000 +83.10% TRAD-LJC4
Quantitative research on an algorithmic trading strategy for crypto asset A on the 15-minute timeframe. The model recorded a 100% win rate and an 83.10% cumulative gain, though based on a very small sample of two completed trades.
Analysis as of 14.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The strategy named A 215000 +83.10% TRAD-LJC4 is designed for spot trading on the crypto asset A using a 15-minute timeframe. Within the evaluated dataset ending August 10, 2026, it holds the top rank for this ticker under a minimum ticker fallback selection rule. The system has achieved an all-history profit of 83.10%. Its calculated DevioLab score sits at 0, emphasizing that the historical outcome must be interpreted with extreme statistical caution.
Trading rhythm and position duration
Across the entire recorded history, the algorithm executed only two completed trades. Because of this minimalist trade volume, specific duration metrics such as average holding hours, median days between exits, and annual trade frequency are not available. The available metrics indicate a strategy that remains dormant for extended periods and triggers entries under rare technical setups.
Quality of historical results
Both recorded trades concluded in profit, delivering a 100% win rate. The average return per trade reached 37.20%, matching the median trade performance of 37.20%. The best trade produced a gain of 58.18%, while the second trade gained 16.22%. The profit factor is recorded at 5, with 100% of gross profit generated by these two winning positions.
Risk, drawdown and losing behavior
The maximum historical drawdown for the strategy is 0%, as no trades ended in a loss. The longest winning streak stands at two consecutive trades, while losing streaks are absent. While zero drawdown appears attractive, it is the direct consequence of the two-trade sample size rather than proof of complete immunity to market risk.
Behavior through time and yearly stability
Due to the absence of multi-year trade distribution data, evaluating yearly consistency or performance stability across different market regimes is impossible. Two completed trades do not offer enough statistical baseline to determine how the model responds to changing market volatility or shifts in asset behavior.
Strengths and limitations
The primary strength lies in the efficiency of its trades, generating an average 37.20% gain per entry without a single losing trade. The primary limitation is the extremely small sample size of two trades, which lacks statistical significance and makes long-term performance extrapolation unreliable.
DevioLab analytical conclusion
The A 215000 +83.10% TRAD-LJC4 strategy displays impressive paper metrics, including an 83.10% total gain and zero drawdown. However, with only two completed trades on record, the strategy should be treated as an unverified setup requiring a broader dataset before drawing conclusions regarding its live viability.
Data scope and methodology
This analysis relies on historical simulated trade performance for asset A on the 15-minute timeframe up to August 10, 2026. All statistics refer strictly to historical simulated closed trades and do not represent guaranteed future returns or live account performance.