ANET · Arista Networks Inc.
Stock Universe · mercado global de açõesANET Quantitative Strategy Analysis: Evaluating a High-Win-Rate Multi-Day Algorithmic Model
This analytical report examines a top-ranked algorithmic trading strategy designed for ANET on the 15-minute timeframe. Evaluated across nearly seven years of historical backtest data from September 2019 to August 2026, the strategy exhibits a overall win rate of 77.87% across 122 completed trades, yielding an exceptional cumulative gain with a profit factor of 3.75 and a strictly controlled maximum drawdown of 15.03%. Operating with an average position holding duration of approximately 13 days (311.68 hours) and an average exit frequency of once every 20.94 days, the strategy displays a disciplined multi-day swing architecture suited for deployment within automated trading bots and algorithmic trading agents. Furthermore, with the top three gross winners accounting for just 14.30% of total profits and a robust post-June 2024 performance window generating 285.68% across 50 trades, the quantitative profile demonstrates persistent structural efficiency rather than reliance on single-event outliers.
Análise em 17.09.2026. Os dados da estratégia são atualizados separadamente.Ler análise completa
Strategy profile
The algorithmic strategy designated for ANET represents a core multi-day quantitative model operating on a 15-minute price bar interval. Holding the top analytical ranking on DevioLab for this asset with a score of 78.32, the strategy is engineered to serve as the underlying decision logic for automated trading bots and execution agents operating in stock markets. Over an evaluation period spanning 6.95 years from September 16, 2019, through August 26, 2026, the model completed 122 trades. Rather than relying on rapid intra-day turnover, the architecture uses the 15-minute granularity to identify structural entry points while holding positions across extended time horizons. The strategy achieves a cumulative simulated historical return of 30,761.57% with an annualized return metric of 1,280.56%, reflecting a highly selective swing-trading methodology that balances high trade precision with sustained trend capture.
Trading rhythm and position duration
Despite utilizing a lower-timeframe 15-minute price series, the strategy displays a distinctly patient trading rhythm. It generates an average of 17.57 completed trades per year, which translates to roughly 1.72 completed trades per active month. Position holding times reflect a multi-day to multi-week profile, with an average holding duration of 311.68 hours (approximately 13.0 days) and a median holding duration of 194.75 hours (approximately 8.1 days). The gap between the average and median holding times indicates that while many trades exit within a week, select high-conviction positions remain open for significantly longer periods to ride macroeconomic or structural equity swings. Exits occur at a measured cadence, averaging 20.94 days between trade completions with a median spacing of 18.02 days. For quantitative traders deploying trading robots, this low trade frequency lowers portfolio turnover and minimizes exposure to execution friction.
Quality of historical results
The quality of historical results for ANET is driven by an exceptional hit rate paired with positive asymmetry between gains and losses. Out of 122 total trades, 95 ended in positive territory, producing a overall win rate of 77.87%. The profit factor stands at 3.75, confirming that total gross profits significantly outweighed total gross losses over the multi-year testing period. The average trade gain across all positions is 5.31%, closely tracking the median trade gain of 4.50%. This close alignment between mean and median expectations indicates a stable, reproducible trade distribution rather than a skewed profile dependent on extreme values. Additionally, the strategy's top three winning trades generated only 14.30% of aggregate gross profit, proving that returns are broad-based and distributed across dozens of successful positions rather than concentrated in a handful of fortunate market spikes. The single best trade realized a return of 47.52%, showcasing robust upside participation.
Risk, drawdown and losing behavior
Risk containment is one of the strategy's defining quantitative strengths. The peak-to-trough historical maximum drawdown was held to 15.03%, a notable figure given the high cumulative return generated across the multi-year window. This maximum drawdown aligns precisely with the strategy's single worst trade loss of -15.03%, suggesting that equity drawdowns were largely driven by isolated trade losses rather than compound multi-trade cascading collapses. Over its nearly seven-year history, the longest losing streak was limited to 5 consecutive negative trades, whereas the longest winning streak extended to 16 consecutive successful trades. The high win rate (77.87%) provides a psychological and statistical cushion, reducing the duration of underwater equity periods and offering strong stability characteristics for automated trading agents.
Behavior through time and yearly stability
A year-by-year examination reveals structural durability alongside periods of shifting market regimes. In its inaugural partial year of 2019, the strategy completed 2 trades with a 50.00% win rate and a modest net gain of 1.52%. It gained strong momentum in 2020, delivering 135.57% across 19 trades with an 84.21% win rate. Solid performance continued into 2021, generating 83.68% over 13 trades with an 84.62% win rate. In 2022, corresponding to broader equity market headwinds, the strategy experienced a performance slowdown, achieving a 40.00% win rate across 10 trades but still finishing positive with an 11.00% sum return. Rebound was swift in 2023, recording a 95.00% win rate across 20 trades for a 104.16% return. Consistency remained high in 2024 (+115.54%, 85.00% win rate across 20 trades) and 2025 (+115.68%, 81.82% win rate across 22 trades). In the final partial testing year of 2026, the strategy recorded 16 trades with a 56.25% win rate and an 80.98% return, illustrating that even during lower win-rate regimes, positive trade asymmetry maintains upward equity growth.
Recent period since 2024-06-01 versus full history
Analyzing performance in the recent sample window beginning June 1, 2024, provides vital insight into modern market responsiveness. Over this period, the strategy closed 50 trades, representing more than 40% of its entire lifetime trade volume. Summed returns in this recent window reached 285.68%, demonstrating that the model's underlying edge has remained active and highly effective in recent market conditions. The high trade density during this period (50 completed trades over roughly two calendar years) reflects heightened signal generation while preserving the core historical parameters. Comparing the recent sample to full-history metrics indicates that recent trade efficacy matches or exceeds the long-term baseline, offering statistical assurance that historical profitability is not merely an artifact of early data years.
Strengths and limitations
The primary analytical strengths of this ANET strategy reside in its robust win rate (77.87%), strong profit factor (3.75%), modest drawdown profile (15.03%), and exceptionally low profit concentration (top 3 winners at 14.30%). The patient multi-day holding structure allows automated trading bots to capture sustained equity trends without generating excessive execution costs. Conversely, the principal quantitative limitation stems from its selective signal frequency. Averaging only 17.57 trades per year, the strategy requires high capital patience, as extended periods of non-trading or holding active positions for weeks may test trader discipline. Additionally, during choppy market regimes like 2022, win rates can drop to 40.00%, though historical capital protection mechanisms successfully mitigated severe structural losses.
DevioLab analytical conclusion
The ANET 15-minute quantitative strategy represents a highly refined, core-grade algorithmic trading model. Earning a DevioLab score of 78.32 and ranking first among strategies for this asset, the model successfully resolves the classic tension between high hit rates and large payoff factors. By combining a 77.87% win rate with a 3.75 profit factor and holding maximum drawdown to 15.03%, the strategy delivers a rare balance of downside protection and strong upward return capture. Its multi-day position duration and distributed gross profit composition make it a robust candidate logic for deployment within automated trading agents and algorithmic trading systems seeking disciplined equity growth.
Data scope and methodology
This analysis is derived entirely from historical backtested data generated for ANET on the 15-minute timeframe between September 16, 2019, and August 26, 2026. All reported statistics, including completed trades, win rates, drawdowns, and holding durations, represent simulated quantitative evaluations. Performance metrics from the recent period starting June 1, 2024, evaluate trades closed on or after that date. These results serve historical research and strategy modeling purposes only and do not constitute financial advice, live trading recommendations, or guarantees of future performance.