APEUSDT
Crypto market · BinanceQuantitative Analysis of APE Strategy: Flawless Historical Win Rate Meets Extreme Selectivity
This quantitative report provides a comprehensive backtest evaluation of the algorithmic strategy APE 215000 +602.58% 1TRAD-XDJ2 applied to the APE cryptocurrency asset. Across a 3.73-year historical observation window from March 17, 2022, to December 9, 2025, the strategy delivered a cumulative performance of +602.58% with an annualized return of 30.01%. Notably, the model achieved a 100% win rate across 7 completed trades, resulting in a recorded closed-trade maximum drawdown of 0.00% and a profit factor of 9.38. However, this unblemished historical record is defined by severe statistical constraints: an extremely small trade sample size, extensive holding durations averaging 865.32 hours (approximately 36 days), and a pronounced concentration of gains, where the three best trades generated 76.04% of aggregate gross profit. Evaluated within the DevioLab quantitative framework, the strategy earns a score of 58.84 and ranks 7th for the APE asset, reflecting a balance between impressive historical efficiency and significant sample limitations.
Analysis as of 22.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The trading strategy designated as APE 215000 +602.58% 1TRAD-XDJ2 operates within the crypto market context on the APE asset using a 15-minute evaluation interval. The backtested dataset spans 3.73 years, beginning on March 17, 2022, and concluding on December 9, 2025. Over this period, the algorithm generated a total cumulative return of +602.58%, corresponding to an annualized historical return of 30.01%. The defining statistical feature of this strategy is its extreme selectivity: over nearly four years of continuous market monitoring, the system completed only 7 trades. Every single completed trade was closed at a profit, producing a 100.0% historical win rate with zero losing trades. Within the DevioLab quantitative scoring system, the strategy achieves a DevioLab score of 58.84, placing it 7th among backtested algorithms for the APE asset. This score highlights a tension between pristine trade-level accuracy and the mathematical limits of drawing long-term statistical conclusions from a small sample size.
Trading rhythm and position duration
Despite evaluating market data on a granular 15-minute chart interval, the strategy operates as an ultra-low-frequency macro position model rather than a short-term trading system. The algorithm records a historical trade frequency of 1.87 trades per year and an average of 1 trade per active month. The temporal spacing between trade exits is substantial, averaging 206.72 days with a median gap of 189.02 days. Once a position is established, the strategy remains exposed to the market for extended durations: the average position holding time is 865.32 hours (approximately 36.05 days), while the median holding duration stands at 467.75 hours (approximately 19.49 days). This operational footprint demonstrates that the 15-minute interval serves strictly for fine-tuned entry and exit execution, while the underlying holding logic filters out short-term noise to capture macro-level price movements lasting several weeks or months.
Quality of historical results
The individual trade metrics reflect high execution quality per entry, accompanied by a skewed profit distribution. Across all 7 completed trades, the average trade return reached +35.02%, while the median trade return stood at +26.68%. The best single trade generated a gain of +88.23%, whereas the smallest gain among completed positions was +3.04%. Because zero losing trades occurred in the historical sample, the backtest system records a profit factor of 9.38. However, an examination of profit concentration reveals that gains are highly localized: the top 3 winning trades account for 76.04% of total gross profit. This demonstrates that while the strategy maintains an unblemished win rate, the bulk of its overall +602.58% historical compounding is driven by a small core of exceptional trend captures rather than a uniform distribution of equal gains.
Risk, drawdown and losing behavior
From a closed-trade perspective, the strategy records exemplary risk statistics, featuring a maximum drawdown of 0.00% and a maximum losing streak of zero trades. However, risk analysis must account for the structural nature of backtested equity curves. Because closed-trade drawdown metrics only register realized losses upon position exit, they do not depict the open trade equity fluctuations experienced during average holding periods of 36 days. Given the inherent volatility of crypto assets like APE, individual positions likely experienced temporary unrealized drawdowns prior to profitable closure. Furthermore, from a statistical standpoint, a zero-drawdown profile based on 7 total trades cannot guarantee future drawdown resistance, as a single adverse trade in future execution would immediately alter the historical risk parameters.
Behavior through time and yearly stability
An evaluation of the yearly breakdown reveals consistent profit contribution across every calendar year in the evaluation window, despite the minimal trade count. In 2022, the strategy executed 2 trades, achieving a 100% win rate and a cumulative return of +98.21%. In 2023, performance remained positive with 2 trades yielding +29.01%. The year 2024 represented another strong period, generating +91.26% across 2 closed trades. Finally, in the partial period of 2025, the strategy completed 1 trade for a return of +26.68%. The strategy maintained a flawless 100% win rate in every individual year. This breakdown confirms that total returns were distributed across multiple market cycles between 2022 and 2025, rather than being generated during a single localized market phase.
Recent period since 2024-06-01 versus full history
Evaluating recent activity since June 1, 2024, provides insight into the algorithm's ongoing behavioral stability. In this recent evaluation window, the strategy completed 2 trades, generating a combined return of +29.72%. This trade volume aligns precisely with the full-history baseline frequency of 1.87 trades per year, confirming that the algorithm's execution pace has remained stable over time. The sum of returns in the recent window (+29.72%) continues the historical pattern of high per-trade profitability. While the recent sample consists of only 2 trades, the persistence of perfect trade accuracy indicates that the strategy's filtering criteria have remained consistent relative to its broader 3.73-year history.
Strengths and limitations
The primary strength of the strategy lies in its historical precision and signal filtration, yielding a 100% win rate, an average trade gain of +35.02%, and a cumulative performance of +602.58% without registering a closed-trade loss. The algorithm effectively avoids over-trading, executing less than two trades per year. Conversely, the primary limitation is the extremely small sample size of 7 completed trades over 3.73 years, which limits statistical confidence regarding future performance expectations. Additionally, the strategy exhibits high profit concentration, with 76.04% of gross returns originating from just 3 trades. Investors and analysts must also account for lengthy holding periods averaging 865.32 hours, which require holding positions through multi-week market swings.
DevioLab analytical conclusion
The strategy APE 215000 +602.58% 1TRAD-XDJ2 presents a unique quantitative profile within the APE asset universe. It achieves an outstanding historical closed-trade track record marked by +602.58% total gain, 30.01% annualized return, zero closed losses, and a 100% win rate. However, the DevioLab score of 58.84 and rank of 7 reflect the scoring framework's conservative treatment of low sample sizes. Because statistical reliability scales with trade volume, an N of 7 inherently introduces sample uncertainty. Ultimately, the historical data characterizes this strategy as an ultra-patient, high-conviction trend model that exchanges trade frequency for entry accuracy.
Data scope and methodology
All metrics in this report are derived directly from backtested closed-trade data for the APE cryptocurrency asset on a 15-minute chart interval between March 17, 2022, and December 9, 2025. Recent period analysis isolates trades with exit timestamps on or after June 1, 2024 UTC. All calculations, including win rates, holding durations, drawdown figures, and yearly breakdowns, describe historical simulated outcomes. Execution costs, exchange fees, and slippage dynamics are not explicitly modeled in the provided source metrics. Past performance figures generated from quantitative backtests are purely historical and do not guarantee future performance in live trading environments.