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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。
AAOI · Applied Optoelectronics, Inc. (5) AAPL · Apple Inc. (7) ALAB · Astera Labs, Inc. (6) AMAT · Applied Materials, Inc. (6) AMD · Advanced Micro Devices, Inc. (7) AMZN · Amazon.com, Inc. (6) ARM · Arm Holdings plc (5) ASML · ASML Holding N.V. (7) ASTS · AST SpaceMobile, Inc. (6) AVGO · Broadcom Inc. (6) BABA · Alibaba Group Holding Limited (6) BE · Bloom Energy Corporation (5) BMNR · BitMine Immersion Technologies, Inc. (5) COHR · Coherent Corp. (5) CRCL · Circle Internet Group, Inc. (5) CRDO · Credo Technology Group Holding Ltd (8) DELL · Dell Technologies Inc. (6) EWY · iShares MSCI South Korea ETF (6) FLNC · Fluence Energy, Inc. (7) GS · The Goldman Sachs Group, Inc. (6) HOOD · Robinhood Markets, Inc. (7) IBM · International Business Machines Corporation (6) INTC · Intel Corporation (6) IREN · IREN Limited (7) LITE · Lumentum Holdings Inc. (6) META · Meta Platforms, Inc. (7) MRVL · Marvell Technology, Inc. (6) MSFT · Microsoft Corporation (7) MSTR · Strategy Inc (8) MU · Micron Technology, Inc. (7) NFLX · Netflix, Inc. (7) NOK · Nokia Oyj (7) NVDA · NVIDIA Corporation (7) PLTR · Palantir Technologies Inc. (8) PYPL · PayPal Holdings, Inc. (5) QQQ · Invesco QQQ Trust (6) RKLB · Rocket Lab Corporation (4) SKHY · SK hynix Inc. (3) SMCI · Super Micro Computer, Inc. (5) SMH · VanEck Semiconductor ETF (4) SNDK · Sandisk Corporation (4) SOXS · Direxion Daily Semiconductor Bear 3X Shares (3) SPCX · Space Exploration Technologies Corp. (3) TSLA · Tesla, Inc. (6) TSM · Taiwan Semiconductor Manufacturing Company Limited (4) USAR · USA Rare Earth, Inc. (4)
所选策略概览

COHRBUSDT

股票工具 · 通过 Binance 执行
COHRB 0 +37032.65% 1TRAD-EWM2
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。
42交易
95.2%胜率
+16.17%平均交易
+58.65%最佳交易
-7.65%最差交易
+7,984.1%年化
策略分析档案 · ffb0208700d6bb86

Quantitative Strategy Analysis: COHR · Coherent Corp. (15m) Achieves 95.12% Win Rate with Controlled Risk

An in-depth quantitative study of the COHRB 0 +37032.65% 1TRAD-EWM2 algorithm for Coherent Corp. stock. The model boasts an exceptional 6.88 profit factor and a tight 4.87% maximum drawdown over 5 years of historical backtest data.

阅读完整分析

Strategy profile

This algorithmic trading model is engineered for the equity market, operating on a 15-minute chart for COHR (Coherent Corp.). Ranked first among evaluated strategies for this ticker, it holds a DevioLab Score of 91.36. Across an historical evaluation span of approximately 5.03 years from August 10, 2021, to August 19, 2026, the strategy generated a cumulative historical return of 37,032.65%. The system focuses on selective execution, applying strict entry filters to achieve high directional precision on short-term intraday charts.

Trading rhythm and position duration

An examination of the trading pacing reveals an extremely low trade frequency, definitively setting this strategy apart from high-frequency or scalping systems. Over the 5-year sample, only 41 completed trades were registered, translating to an average of roughly 8.16 trades per year. While specific duration metrics such as average holding hours or days between exits are not explicitly itemized in the dataset, the low trade density demonstrates that positions are taken with extreme selectivity, often leaving the strategy inactive for months while waiting for qualified market structure.

Quality of historical results

The historical performance metrics highlight remarkable consistency. Out of 41 total trades, 39 were profitable, resulting in an extraordinary win rate of 95.12%. The average trade yield stands at 16.63%, paired with a median trade return of 12.52%, indicating solid positive mathematical expectancy per trade. The single best trade delivered a gain of 58.65%. The profit factor reached 6.88, while the top three winning trades collectively accounted for 24.88% of total gross profit, confirming that performance was driven by broad-based trade success rather than a few outliers.

Risk, drawdown and losing behavior

Risk containment throughout the historical backtest was exemplary. The model experienced only 2 losing trades over the entire 5.03-year history, with the worst individual trade returning -4.87%. Correspondingly, the maximum historical equity drawdown capped at 4.87%, perfectly aligning with the loss of the worst single trade. The longest consecutive winning streak spanned 23 trades, whereas the longest losing streak was limited to just 1 trade, demonstrating remarkable resilience against compounding losses.

Behavior through time and yearly stability

Spanning over 5 years of simulated historical data, the strategy maintains a disciplined posture in navigating Coherent Corp. price action. Generating roughly 8.16 trades per year, the model actively avoids choppy, low-probability environments. By trading only during clear structural alignment, it maintains a substantial average gain per trade while keeping exposure time to market turbulence at a minimum.

Strengths and limitations

Key strengths of the model include an outstanding 95.12% win rate, a strictly contained maximum drawdown of 4.87%, a high profit factor of 6.88, and balanced gross profit distribution across trades. The primary limitation lies in the modest sample size of 41 completed trades over 5 years, which naturally warrants statistical caution. Additionally, prolonged operational pauses require strict patience from the trader.

DevioLab analytical conclusion

The COHRB 0 +37032.65% 1TRAD-EWM2 strategy stands out as a highly precise quantitative framework for Coherent Corp. equities, earning its position as the top core strategy for the ticker with a DevioLab Score of 91.36. Its risk-reward dynamics are exceptional, though success in execution hinges on adherence to its low-frequency, high-selectivity design.

Data scope and methodology

This analysis is based on historical backtested closed trade data for COHR stock on a 15-minute timeframe between August 10, 2021, and August 19, 2026. The dataset start date marks the beginning of available historical testing data and should not be interpreted as the asset listing or inception date. Historical performance figures do not guarantee future returns, do not account for live market slippage or variable commission structures, and are provided solely for quantitative research purposes.

完整策略分析