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APTUSDT

Crypto market · Binance
APT 215000 +16110.98% 1TRAD-HOF4
Archived strategy
51Trades
90.2%Win rate
+11.12%Avg trade
+50.10%Best trade
-8.10%Worst trade
+469.9%Annualized
Strategy analytical profile · 87b84ae5019e0e94

Algorithmic Strategy Analysis for APT · APT on the 15-Minute Interval

A detailed quantitative evaluation of a spot trading strategy for APT featuring a historical return of +16110.98%, a 90.2% win rate, and a tightly controlled maximum drawdown of 8.1%.

Analysis as of 13.08.2026. Strategy data is updated separately.
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Strategy profile

The trading strategy APT 215000 +16110.98% 1TRAD-HOF4 is designed for spot market trading of the crypto asset APT using a 15-minute timeframe. It holds a DevioLab score of 65.75 and currently ranks 3rd among all evaluated strategies for this specific ticker. The evaluated backtest dataset spans from October 19, 2022, to August 12, 2026, representing approximately 3.82 years of trading history. Over this timeframe, the algorithm generated a cumulative simulated profit of 16110.98%, translating to an annualized return of 469.9%. All performance metrics reflect historical closed trades and should not be interpreted as guarantees of future outcomes.

Trading rhythm and position duration

The operational cadence of this algorithm is characterized by very low trade frequency. Across the 3.82-year historical sample, the strategy executed a total of only 51 completed trades, which translates to an average of 13.37 trades per year. Although specific average and median holding hours are not available in the dataset, the low annual trade count clearly indicates a highly selective signal filter rather than a high-frequency or scalping regime. The system waits for distinct market configurations on the 15-minute chart before opening positions.

Quality of historical results

The historical performance quality of this strategy is notably high. Out of 51 completed trades, 46 were profitable and 5 ended in a loss, delivering a win rate of 90.2%. The strategy achieved a profit factor of 7.5, illustrating a substantial dominance of gross gains over gross losses. The average trade yield stands at 11.12%, while the median trade yield is 10.44%. The single best trade produced a 50.10% gain. Profits are well distributed across positions, with the top 3 winning trades accounting for only 20.03% of total gross profits.

Risk, drawdown and losing behavior

Risk containment is one of the strongest attributes of this system. The maximum historical drawdown recorded was capped at 8.1%, matching closely with the worst individual trade outcome of -8.10%. The algorithm demonstrated remarkable consistency by achieving a maximum winning streak of 21 consecutive trades. On the defensive side, the longest losing streak was limited to just 1 trade, meaning the algorithm never suffered back-to-back losing trades across the entire history analyzed.

Behavior through time and yearly stability

Over the 3.82-year testing history, the algorithm maintained a steady trade frequency averaging 13.37 trades per year. However, because the total dataset consists of only 51 closed trades, statistical evaluations across individual sub-periods must consider the limited sample size. Filtering out market noise leads to strong individual trade metrics, but fewer data points naturally broaden the confidence interval when projecting long-term stability.

Strengths and limitations

The principal strengths of the strategy include its exceptional win rate of 90.2%, a robust profit factor of 7.5, and a strict drawdown ceiling of 8.1%. Furthermore, the low concentration of returns in top trades (20.03% share from top 3) indicates consistent execution. The main limitations stem from the modest sample size of 51 total trades over 3.82 years, complete inactivity since June 1, 2024, and the absence of granular trade duration metrics.

DevioLab analytical conclusion

Ranking 3rd for the APT ticker with a DevioLab score of 65.75, this strategy showcases impressive historical risk-adjusted stats. Its low drawdown profile and high win rate make it an interesting quantitative case study. However, analysts should consider the compact trade sample (51 trades) and the recent extended period of inactivity since mid-2024. This analysis is prepared strictly for research purposes and does not constitute financial advice.

Data scope and methodology

This research is based on historical spot market data for APT covering the period from October 19, 2022, to August 12, 2026 (3.82 years) using a 15-minute chart resolution. All percentage figures describe simulated closed trades and do not reflect actual Binance account balances or guarantee future trading results.

Full strategy analysis