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公开目录 · DEVIOLAB

策略目录

探索算法策略、比较表现,并查看每个模型的完整历史。
不知道从哪里开始?
1. 目录 2. 选择 Core 1 3. 加入篮子 4. API 密钥 5. 激活交易机器人
我们的建议: 首次配置建议使用 Core 1——这是 DevioLab 的主要、更稳健的筛选。Core 2 适合明确愿意承受更高风险和更深回撤的用户。
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什么是 Core 1 和 Core 2?
DevioLab 会分析加密货币和股票市场策略,并整理成可直接使用的精选组合,让您无需手动筛选数百种方案。
★ Core 1
由 DevioLab 筛选的加密货币与股票策略组合,作为主要、更均衡且更稳健的起步选择,重点控制风险与回撤。
◆ Core 2
DevioLab 的独立进取型精选,适合明确愿意承受更高风险和更深回撤,以换取潜在更高收益的用户。
所选策略概览

POLUSDT

加密市场 · Binance
POL 215000 +775.44% 1TRAD-MWY7
DevioLab 推荐 · Core 1 iDevioLab 主要推荐:更加防御、平稳且稳定的配置,重点控制风险和回撤。
DevioLab 推荐 · Core 2 iDevioLab 更激进的推荐:接受更高风险和更深回撤,以换取潜在更高回报。
15交易
100.0%胜率
+16.29%平均交易
+43.57%最佳交易
+1.95%最差交易
+775.4%年化
策略分析档案 · 97f1ce8aba3bc830

Algorithmic Strategy Analysis for POL · POL: 100% Win Rate and Performance Track

An analytical review of the algorithmic strategy POL 215000 +775.44% 1TRAD-MWY7 applied to POL on the 15-minute timeframe. Ranked number one for this ticker with a DevioLab Score of 83.11, the strategy delivered 15 winning trades out of 15 during the historical testing dataset.

阅读完整分析

Strategy profile

The strategy POL 215000 +775.44% 1TRAD-MWY7 is engineered for trading the crypto asset POL on a 15-minute timeframe (15m). Within the DevioLab quantitative evaluation framework, this system achieved a score of 83.11, ranking first among evaluated strategies for this specific ticker. The model stands out due to its highly selective market entry methodology. Across the evaluated historical dataset, the algorithm generated a cumulative return of 775.44%. Its core profile is defined by low transaction frequency and stringent entry criteria.

Trading rhythm and position duration

Trading frequency analysis reveals a disciplined, selective approach. Over the full historical period, the strategy completed 15 closed trades, translating to approximately 7.84 trades per year. The algorithm avoids overtrading and remains inactive during chop or uncertain market structure. Exact average and median holding hours are unrecorded in the dataset, but the low yearly trade count confirms a low-frequency, impulse-driven approach rather than high-frequency execution.

Quality of historical results

Historical execution quality displays a 100% win rate across all 15 completed trades, with 0 losing trades. The average trade gain reached 16.29%, while the median trade yield stood at 13.51%. The best single trade recorded a gain of 43.57%, and the smallest winning trade returned 1.95%. The system recorded a profit factor of 5. Profit concentration remains balanced, with the top 3 winning trades generating 41.93% of total gross profit.

Risk, drawdown and losing behavior

Because every trade in the 15-trade dataset concluded in profit, the maximum historical closed-trade drawdown stands at 0%. The longest winning streak reached 15 consecutive trades, with zero losing streaks. Quantitative analysis emphasizes that a zero-drawdown record in a compact sample does not eliminate future risk, as shifts in POL market dynamics could introduce drawdowns over longer horizon deployments.

Behavior through time and yearly stability

The historical dataset spans from September 13, 2024, to August 12, 2026, representing roughly 1.91 years of evaluation history. Lacking a detailed yearly breakdown table, consistency is judged across the full sample timeline. The algorithm remains dormant through adverse periods, executing trades only when pre-defined high-probability criteria are fully met.

Strengths and limitations

Key strengths include a top-ranked DevioLab Score of 83.11 for POL, a 100% win rate, 0% historical drawdown, and a total historical return of 775.44%. Limitations center primarily on the small sample size of 15 completed trades over 1.91 years, which requires cautious interpretation when projecting future statistical expectations.

DevioLab analytical conclusion

The POL 215000 +775.44% 1TRAD-MWY7 trading system demonstrates exceptional precision and risk containment within its historical backtest on POL. Ranking first for the ticker with a DevioLab Score of 83.11, it presents an intriguing model for spot traders who prioritize selectivity over high turnover. However, traders should account for the small 15-trade sample size and maintain strict risk management protocols.

Data scope and methodology

This analysis is based on historical backtested data for the spot crypto asset POL covering September 13, 2024, to August 12, 2026 (1.91 years) on 15-minute candles. Historical performance percentages reflect simulated closed trade results, do not represent exact live account yields, and provide no guarantee of future returns.