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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。
i
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

IMXUSDT

加密市场 · Binance
IMX 215000 +11407.95% 1TRAD-XWW0
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。
62交易
82.3%胜率
+9.27%平均交易
+58.94%最佳交易
-36.59%最差交易
+454.2%年化
策略分析档案 · b6359073f4fd54d8

Algorithmic Strategy Analysis for IMX · IMX on the 15-Minute Timeframe

An analytical evaluation of the quantitative strategy IMX 215000 +11407.95% 1TRAD-XWW0 for the IMX asset. Based on 62 completed historical trades, an 82.26% win rate, a 11407.95% total gain, and sample-specific boundaries.

阅读完整分析

Strategy profile

The quantitative strategy named IMX 215000 +11407.95% 1TRAD-XWW0 is designed for spot trading on the crypto asset IMX using a 15-minute chart timeframe. Within the DevioLab internal ranking for this ticker, the strategy holds the rank 1 position with a DevioLab Score of 69.33. Historical backtesting shows a cumulative return of 11407.95% and an annualized equivalent figure of 415.98%. The strategy demonstrates a selective trading pattern tailored to specific market structure conditions.

Trading rhythm and position duration

The dataset contains 62 completed historical trades. Specific metrics regarding average or median trade holding times, as well as trade frequencies per month or year, are not available in this statistics set. Given the sample size of 62 total closed positions on a 15m time interval, the strategy cannot be categorized as scalping. Instead, it operates with a measured signal generation rhythm.

Quality of historical results

The execution performance reveals notable precision: out of 62 total completed trades, 51 closed in profit and 11 ended in loss, yielding a win rate of 82.26%. The average return per trade stands at 9.27%, while the median trade yield is 9.13%. The top winning trade generated a gain of 58.94%. Overall profit factor is 1.67. Furthermore, the top three winning trades account for 19.90% of total gross profit, indicating that overall gains are distributed across multiple trades rather than heavily skewed by a single outlier.

Risk, drawdown and losing behavior

The maximum historical drawdown recorded for this strategy is 36.59%. Notably, the worst single trade loss in the dataset is also -36.59%, matching the peak drawdown magnitude. The system achieved a maximum winning streak of 14 consecutive trades, whereas its longest losing streak was limited to 2 trades. While the brief losing streaks highlight rapid recovery potential, the individual maximum loss figure warrants disciplined risk control.

Behavior through time and yearly stability

Yearly breakdown statistics are not present in the historical source file, which tracks data through an endpoint of 2026-08-10. Because annual and monthly distributions are omitted, evaluating performance consistency across varying macro market cycles remains constrained to the aggregated 62-trade sample result.

Strengths and limitations

Key strengths include a strong 82.26% win rate, a healthy average trade profit of 9.27%, a moderate profit factor of 1.67, and a low consecutive loss count of 2 trades. Main limitations stem from the modest sample size of 62 trades, a significant single-trade worst loss of -36.59%, the absence of recent trade executions since mid-2024, and unavailable holding duration metrics.

DevioLab analytical conclusion

With a DevioLab Score of 69.33, this strategy takes the top rank for IMX in our current comparative database. Its high historical win rate of 82.26% and total return of 11407.95% reflect strong statistical efficiency during active periods. However, prospective quantitative researchers must account for the limited trade count and recent dormancy when evaluating its historical profile.

Data scope and methodology

All figures reflect historical simulated closed trades for IMX on a 15-minute timeframe within the crypto market context. These percentages are derived from backtested model performance, do not represent actual Binance account returns, and offer no guarantee of future trading performance.