AVGOBUSDT
Instrumento de ações · execução via BinanceAVGO · Broadcom Inc. High-Selectivity 15-Minute Algorithmic Strategy Analysis
This quantitative research report provides an in-depth statistical examination of a high-selectivity 15-minute algorithmic strategy on Broadcom Inc. (AVGO). Spanning nearly seven years of historical backtest data from September 2019 to August 2026, the strategy exhibits an exceptional win rate of 87.69% across 65 completed trades, yielding a cumulative trade return sum of +12,208.02%. Operating with a low trade frequency of approximately 9.38 executions per year, the strategy prioritizes strict signal filtering over high transaction volume. Despite a high win rate and a longest winning streak of 15 consecutive trades, the strategy records a profit factor of 1.67 and a maximum drawdown of 22.09%, illustrating an asymmetry where individual losing trades exert a pronounced drag on cumulative performance. With a DevioLab score of 73.89 and a rank of 5 for AVGO, the model demonstrates strong historical hit rates and low dependency on top winners, offset by a limited total trade sample size and zero recorded trade completions since June 1, 2024.
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Strategy profile
The quantitative strategy under evaluation targets Broadcom Inc. (AVGO) within equity stock markets, executing signals derived from a 15-minute candlestick chart interval. Over an extended evaluation history spanning 6.93 years—from September 16, 2019, through August 21, 2026—the strategy registered a total of 65 completed trades. Across this full backtested record, the cumulative sum of closed trade returns reached +12,208.02%, earning the strategy a DevioLab performance score of 73.89 and a rank of 5 among evaluated strategy models for this specific asset ticker. The strategy operates as a core independent quantitative framework designed to capture localized equity structural moves. It is important to contextualize that the historical start date of September 16, 2019, represents the official beginning boundary of this backtested dataset rather than the corporate inception or public listing date of Broadcom Inc. The overall profile reveals a low-frequency, highly filtered trading system that trades infrequently on intraday timeframes to accumulate substantial multi-year historical returns.
Trading rhythm and position duration
Despite operating on a granular 15-minute price bar interval, the strategy demonstrates an exceptionally sparse trading rhythm. Over the 6.93-year backtest duration, the system generated only 65 completed trades, equating to an average trade frequency of 9.38 trades per year. This extremely low transaction density confirms that the model does not operate as a high-frequency or scalping algorithm, but rather as an ultra-selective entry system that filters out the vast majority of intraday price action. Specific holding duration metrics, such as average or median holding hours, are not recorded within the statistical dataset scope. However, the macro trading rhythm derived from 9.38 exits per year implies that market exits occur weeks or even months apart. The strategy appears engineered to hold positions through intermediate market swings once an entry threshold is met, avoiding minor intraday noise. The structural trade-off of this low-frequency rhythm is a slow rate of statistical sample accumulation, meaning each individual trade outcome carries substantial analytical weight.
Quality of historical results
The historical performance quality of the strategy is characterized by a remarkably high hit rate combined with moderate payoff asymmetry. Out of 65 completed trade events, 57 resulted in positive gains while only 8 closed in loss, producing an outstanding win rate of 87.69%. The mathematical average trade gain across all positions stands at +8.41%, whereas the median trade gain is +6.30%. The closeness of the median to the mean demonstrates a solid baseline distribution of profitable outcomes across typical trades, although positive skewness is present due to an exceptional best single trade return of +48.02%. Profit distribution metrics further highlight that the top three winning trades accounted for 20.10% of total gross profit. This indicates that historical profitability was broadly distributed across its 57 winning trades rather than relying on a single catastrophic outlier gain. However, the profit factor settles at 1.67. The mathematical tension between an 87.69% win rate and a 1.67 profit factor reveals that when losing trades do occur, their magnitude is disproportionately larger relative to average winning trades, preventing the profit factor from reaching higher tiers.
Risk, drawdown and losing behavior
Risk characteristics within the backtest reveal a pronounced vulnerability to individual trade loss severity despite rare losing occurrences. The strategy recorded a peak-to-trough maximum drawdown of 22.09% across its historical timeline. The worst single trade loss reached -13.69%, contrasting with the average trade gain of +8.41%. Sequence analysis shows a maximum winning streak of 15 consecutive profitable trades, compared to a maximum losing streak of just 2 consecutive losing trades. Given that the strategy suffered only 8 total losing trades across 6.93 years and never lost more than two times in succession, the 22.09% drawdown underscores that capital retrenchment in this system stems primarily from trade loss magnitude and equity give-backs after strong run-ups rather than clustered, prolonged losing streaks. Traders evaluating this risk profile must recognize that while losing trades occur infrequently, a single adverse trade can erase the gains of multiple average winning trades, requiring robust risk controls.
Behavior through time and yearly stability
A comprehensive analysis of temporal stability requires examining how strategy performance is distributed across individual calendar years. In this statistical scope, explicit yearly breakdown figures are not present in the dataset, limiting granular year-by-year comparative metrics such as annual trade counts or win-rate drift over time. Nevertheless, macro historical parameters establish that the strategy averaged 9.38 trades per year across the nearly seven-year backtest horizon. The overall multi-year stability appears anchored in continuous selective execution rather than hyperactive seasonal clusters. Because detailed annual breakdown metrics are absent from the provided statistics, conclusions regarding whether gains were uniformly generated across every single calendar year between 2019 and 2026 cannot be strictly proven. The strategy's long-term total cumulative gain of +12,208.02% reflects the aggregated outcome of its selective trade generation across various broader market environments over the 6.93-year timeline.
Strengths and limitations
The primary analytical strength of this strategy lies in its extraordinary historical hit rate of 87.69% and robust winning sequence capability, exemplified by a 15-trade winning streak. Furthermore, gross profit is reasonably distributed across its winning trades, with the top three winners accounting for just 20.10% of total profits, proving that performance is not an artifact of a single lucky outlier. The strategy also demonstrates high capital efficiency per trade, averaging +8.41% per execution. Conversely, substantial limitations exist. The total sample size of 65 completed trades across 6.93 years is statistically small, introducing higher confidence-interval variance. The worst single trade of -13.69% and a 22.09% maximum drawdown reflect asymmetric loss magnitude that limits the overall profit factor to 1.67. Finally, the absence of completed trades since June 1, 2024, prevents recency verification, leaving the strategy's adaptiveness to modern market regimes unproven in recent sample windows.
DevioLab analytical conclusion
The DevioLab score of 73.89 and ranking of 5 for Broadcom Inc. (AVGO) reflect an intriguing, highly specialized quantitative model. The strategy excels at filtering intraday market price action on the 15-minute timeframe to isolate entries with an exceptionally high historical success rate. For quantitative researchers, the strategy represents a classic high-win-rate profile accompanied by downside pay-off asymmetry: high hit frequencies are countered by heavier individual loss impacts during drawdowns. While the full-history cumulative return of +12,208.02% demonstrates compelling backtest mechanics, the limited sample size of 65 trades and recent execution inactivity since mid-2024 dictate a cautious interpretation. Historical simulated trading performance provides valuable structural insights into strategy design but does not constitute investment advice or a guarantee of future live performance.
Data scope and methodology
This analysis is based strictly on backtested statistical data for strategy code, executed on Broadcom Inc. (AVGO) stock using 15-minute price intervals. The evaluation period covers 6.93 years, beginning on September 16, 2019, and concluding on August 21, 2026. All cited performance indicators, including the 65 completed trades, 87.69% win rate, 1.67 profit factor, and 22.09% maximum drawdown, represent historical simulated closed trades. In accordance with DevioLab methodology notes, these statistics do not represent real-time brokerage account executions, do not account for variable market slippage or trading commissions, and must not be interpreted as guaranteed future trading results.