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Crypto market · BinanceTrading Strategy Analysis AI 215000 on 15m Interval for AI · AI
An in-depth quantitative examination of the algorithmic strategy AI 215000 +5384.50% 1TRAD-XZP3 for crypto asset AI. Historical performance exhibits a high win rate and significant cumulative return, alongside notable single-trade drawdown risks and recent operational dormancy.
Analysis as of 13.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The algorithmic trading model AI 215000 +5384.50% 1TRAD-XZP3 is configured for trading the crypto asset AI on the 15-minute timeframe. According to the DevioLab rating system, this strategy holds the rank 2 position for the AI ticker, achieving an overall score of 59.06. Across the entire historical test period, the system delivered a cumulative return of 5384.50%, which translates to an annualized rate of 979.23%. The backtest dataset spans from January 4, 2024 to August 11, 2026, representing 2.6 years of historical data. The starting date represents the initiation of this specific dataset rather than the launch or exchange listing date of AI.
Trading rhythm and position duration
Throughout the sample period, the algorithm executed a total of 67 completed trades, yielding an average trade frequency of 25.73 trades per year. Despite utilizing a 15-minute candlestick chart, the execution profile is selective rather than high-frequency or scalping-oriented. Detailed figures for average or median holding times are not provided in the dataset, but the modest trade count confirms a paced entry approach focused on specific technical conditions.
Quality of historical results
The standout characteristic of this strategy is its win rate of 83.58%. Out of 67 completed trades, 56 were profitable and 11 ended in a loss. The average return per trade reached 7.34%, with a median trade performance of 9.25%. The single best trade produced a gain of 44.96%. The overall profit factor stands at 1.67, supported by a peak winning streak of 13 consecutive trades. Furthermore, the top 3 winning trades generated 19.39% of total gross profits, indicating that gains were broadly distributed across multiple successful trades rather than reliant on a single outlier.
Risk, drawdown and losing behavior
Despite the high proportion of winning trades, the strategy's risk profile reveals significant downside exposure. The worst trade recorded a loss of -44.28%, which matches the maximum historical drawdown of 44.28%. Although the longest losing streak was limited to just 2 consecutive trades, the magnitude of individual losses indicates that adverse market movements can inflict substantial capital damage when a trade fails.
Behavior through time and yearly stability
The historical context encompasses 2.6 years of data. Detailed yearly metrics are not present in the breakdown, but trade timing indicates heavy concentration during the initial phase of the dataset. Sustained stability over time depends heavily on how the strategy manages changing volatility regimes in the AI token market.
Strengths and limitations
Strengths include an exceptionally high win rate of 83.58%, a strong median trade return of 9.25%, a long winning streak of 13 trades, and balanced profit concentration (top 3 winners share 19.39% of gross profit). Limitations include a severe maximum drawdown of 44.28%, a heavy maximum loss on a single trade (-44.28%), a relatively small sample size of 67 trades, and a complete absence of trading activity since mid-2024.
DevioLab analytical conclusion
DevioLab rank 2 and a score of 59.06 reflect a strategy capable of high precision during active periods, counterbalanced by long periods of inactivity and unhedged single-trade drawdowns. While early backtest results were lucrative, the prolonged lack of recent trades emphasizes the need for careful validation before drawing conclusions about current market readiness.
Data scope and methodology
This analysis relies on simulated historical backtest data for AI on the 15m timeframe from 2024-01-04 to 2026-08-11. All quoted metrics represent historical closed trade results and do not guarantee future performance or constitute financial advice.