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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

FLNCBUSDT

股票工具 · 通过 Binance 执行
FLNCB 0 +63775.51% 1TRAD-UCS1
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。
71交易
71.8%胜率
+11.44%平均交易
+114.03%最佳交易
-21.94%最差交易
+7,361.5%年化
策略分析档案 · 6429d5bdbe5049a4

FLNC · Fluence Energy, Inc.: Quantitative Strategy Analysis on the 15-Minute Timeframe

Quantitative strategy report for Fluence Energy, Inc. on the 15-minute chart. Ranked 4th for this ticker with a DevioLab score of 72.37, the algorithm shows a 72.86% win rate and a cumulative historical return of 63,775.51% across 70 closed trades.

阅读完整分析

Strategy profile

The algorithmic model FLNCB 0 +63775.51% 1TRAD-JJB6 is designed for trading Fluence Energy, Inc. stock on a 15-minute execution timeframe. Selected as the core1 balanced option, it holds rank 4 among tested strategies for this ticker with a DevioLab score of 72.37. The evaluation historical window spans from December 13, 2021 to August 19, 2026, totaling approximately 4.68 years of backtest data. Note that the dataset start date represents the beginning of the analyzed historical window, not the founding or listing date of the asset.

Trading rhythm and position duration

Over the 4.68-year dataset, the strategy executed 70 completed trades, corresponding to an average frequency of 14.95 trades per year. Operating on 15-minute candle intervals allows for fine-grained entry execution, yet the overall trade volume remains selective. This moderate frequency demonstrates a focus on quality signals rather than high-volume execution or scalping. Granular holding times in hours or days between exits are not recorded in this performance snapshot.

Quality of historical results

Out of 70 closed trades, 51 were profitable and 19 ended in a loss, resulting in a win rate of 72.86%. Total historical profit reached 63775.51%, which converts to an annualized calculation of 8195.81%. The average trade profit stands at 11.74%, while the median trade yield is 7.03%. The best single trade recorded a gain of 114.03%. The top 3 winning trades generated 29.79% of total gross profit, reflecting a healthy distribution of gains across the trading history.

Risk, drawdown and losing behavior

The strategy achieved a profit factor of 1.25, indicating that gross gains outweighed gross losses, albeit with notable drawdowns during adverse periods. The maximum historical drawdown was 39.21%, and the single worst trade loss reached -21.94%. The model sustained a maximum winning streak of 12 consecutive trades, compared to a maximum losing streak of 4 trades, demonstrating solid resilience during favorable market regimes.

Behavior through time and yearly stability

Annual performance breakdowns are omitted in this specific statistic summary. Nevertheless, the total sample of 70 trades across 4.68 years reflects a low-density trading schedule spread throughout the testing period.

Strengths and limitations

Key strengths include a strong 72.86% win rate, substantial overall historical growth of 63775.51%, a 12-trade win streak, and moderate concentration in top trades (29.79%). Primary limitations are the modest profit factor of 1.25, a maximum drawdown of 39.21%, a small sample size of 70 trades, and zero trade activity in the recent window since mid-2024.

DevioLab analytical conclusion

Attaining a DevioLab score of 72.37 and ranking 4th for Fluence Energy, Inc., this model provides an intriguing balanced approach on the 15-minute chart. Analysts evaluating this strategy should consider both its high historical win rate and the limitations posed by a small trade sample size combined with recent trading inactivity.

Data scope and methodology

This analysis relies on simulated backtest performance for FLNC from December 13, 2021 to August 19, 2026 on 15-minute price data. All metrics describe closed historical trades. They do not represent live brokerage account execution and do not constitute financial advice or guarantees of future performance.

完整策略分析