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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

AMDBUSDT

股票工具 · 通过 Binance 执行
AMDB 0 +57613.70% 1TRAD-OIV6
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。
107交易
74.8%胜率
+6.71%平均交易
+76.68%最佳交易
-13.07%最差交易
+1,474.0%年化
策略分析档案 · 9327ef42812056db

Algorithmic Strategy Analysis for AMD · Advanced Micro Devices, Inc. on 15m Timeframe

A comprehensive quantitative analysis of the algorithmic system for AMD (Advanced Micro Devices, Inc.), earning a DevioLab score of 82.08 and ranking 2nd for this ticker. The model achieved a 75.70% win rate and a 4.38 profit factor over 107 historical trades.

阅读完整分析

Strategy profile

This algorithmic trading model is designed for AMD (Advanced Micro Devices, Inc.) on the 15-minute timeframe. In the overall DevioLab ranking for this asset, the strategy holds the second position with a score of 82.08, categorizing it as a Core quantitative system. Across a historical dataset spanning nearly 6.92 years, the strategy delivered a cumulative return of +57613.70% over 107 completed trades. The approach focuses on capturing clean medium-term momentum moves on stock data while filtering out market noise.

Trading rhythm and position duration

The execution frequency averages 15.45 trades per year, reflecting a highly selective trading methodology. The strategy is not a scalping system; it prefers patient entry execution only when technical conditions align. Although specific average and median holding durations are not detailed in this dataset, the low trade count on a 15-minute chart implies holding times ranging from several hours to multiple days, effectively mitigating transaction costs and slippage.

Quality of historical results

Out of 107 completed trades, 81 were profitable, yielding a win rate of 75.70%. The profit factor stands at an impressive 4.38, confirming that gross gains significantly outweighed gross losses. The average trade gain is +6.83%, with a median trade return of +5.53%. The best trade produced +76.68%, while the top 3 winning trades generated only 17.55% of total gross profit, demonstrating that performance is broadly distributed across many trades rather than relying on an isolated outlier.

Risk, drawdown and losing behavior

The maximum historical drawdown was contained at 25.24%, which is remarkably disciplined relative to the cumulative return of +57613.70%. The worst individual trade resulted in a loss of -13.07%. The longest losing streak reached 5 trades, compared to a maximum winning streak of 15 trades. This favorable asymmetry illustrates strong risk management and strict exit rules during adverse market conditions.

Behavior through time and yearly stability

Over the evaluation timeline from September 16, 2019, through August 19, 2026, the strategy maintained a consistent growth profile, exhibiting an annualized return figure of 1672.60%. By executing around 15.45 trades per year, the model stays inactive during choppy consolidated regimes, entering only when directional confidence for AMD is high.

Strengths and limitations

Major strengths include a high win rate (75.70%), robust profit factor (4.38), and low concentration risk (top 3 winners account for 17.55% of gross profits). Limitations involve the relatively modest sample size of 107 trades over nearly 7 years, alongside extended periods of inactivity that demand patience from the trader.

DevioLab analytical conclusion

The algorithmic model for AMD demonstrates outstanding historical performance and disciplined downside control, fully justifying its DevioLab score of 82.08 and rank 2 status. The moderate drawdown of 25.24% makes it a compelling core candidate, though users should take note of its selective trading pace and practice proper portfolio risk control.

Data scope and methodology

This research is based on historical backtested closed trades for AMD from September 16, 2019, to August 19, 2026. All percentage metrics reflect past simulated performance and do not guarantee future returns. This document is provided solely for educational and analytical purposes and does not constitute financial advice.

完整策略分析