TSLABUSDT
Instrumento bursátil · ejecución mediante BinanceTSLA · Tesla, Inc. 15-Minute Strategy Analysis: Asymmetric Holding Patterns and High Win-Rate Trajectories
An in-depth quantitative examination of the TSLA 15-minute trading strategy reveals a highly selective systematic profile characterized by a 75.93% win rate across 108 closed trades spanning September 2019 to August 2026. Operating with an average position holding duration of 296.01 hours (approximately 12.33 days), the model exhibits swing-to-position characteristics despite executing on a 15-minute timeframe. With a cumulative historical return of 66,075.32%, a profit factor of 2.22, and a maximum drawdown capped at 21.85%, the strategy balances long-tail winning runs with constrained downside exposure. However, statistical examination reveals concentration risks, with the top three winning trades contributing 42.78% of gross profit, driven primarily by an exceptional best trade of 285.29%. Recent performance since June 1, 2024, demonstrates sustained trading density with 36 completed trades yielding a combined return of 200.20%, though the 2026 year-to-date metrics show performance compression. This study analyzes the structural tensions between trade frequency, profit concentration, and equity curve stability.
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Strategy profile
The quantitative strategy designated for TSLA (Tesla, Inc.) operates on a 15-minute candle interval across a full backtested history of 6.88 years, starting on September 16, 2019, and concluding on August 3, 2026. Over this evaluation window, the system recorded 108 completed trades, achieving an overall cumulative return of 66,075.32% and an annualized return metric of 390.46%. On the DevioLab quantitative evaluation framework, the strategy secures a DevioLab score of 76.85, ranking it 4th among strategies evaluated for the TSLA asset symbol within the stock market category. The dataset provides a controlled sample of historical closed trades, allowing for a comprehensive study of structural payoff distributions, trade duration dynamics, and drawdown mechanics.
Trading rhythm and position duration
Despite utilizing a 15-minute execution interval, the strategy operates with a deliberate, low-frequency cadence more closely aligned with swing or multi-week position trading than intra-day activity. Over the 6.88-year test period, the system generated an average of 15.69 trades per year, which translates to roughly 1.66 trades per active month. The average position holding duration stands at 296.01 hours (approximately 12.33 days), while the median holding duration is 169.13 hours (about 7.05 days). This positive skew in duration indicates that while half of the positions close within approximately one week, a subset of trades remains open for multiple weeks to capture extended directional moves. Spacing between position exits further illustrates this deliberate pace: the strategy averages 22.17 days between completed exits, with a median exit interval of 17.94 days. The low trade frequency combined with multi-day position holding suggests that the underlying logic filters out local market noise, engaging only during sustained structural shifts in price.
Quality of historical results
The historical performance quality is anchored by a high hit rate and favorable risk-reward balance. Out of 108 completed trades, 82 ended in profit and 26 resulted in losses, yielding an overall win rate of 75.93%. The strategy achieved a profit factor of 2.22, indicating that total gross profits were more than double total gross losses. The statistical expectation per trade is positive, with an average trade return of 8.62% compared to a median trade return of 4.81%. The gap between the mean and median trade return highlights significant right-side skewness in the return distribution. This skewness is largely driven by a single top-performing trade of 285.29%, whereas the worst historical trade was limited to a loss of -20.02%. Further analysis of profit distribution reveals that the three largest winning trades account for 42.78% of total gross profit. While the high win rate provides steady baseline equity growth, the strategy relies heavily on a small percentage of outlier trades to deliver its total net gain.
Risk, drawdown and losing behavior
Risk parameters within the strategy reflect structured loss containment relative to total accumulated profit. The historical maximum drawdown reached 21.85%, a modest equity contraction given the cumulative return profile. The strategy exhibits tight control over consecutive losses: its longest losing streak over the entire 6.88-year history was just 2 trades. In contrast, the longest winning streak extended to 11 consecutive profitable trades. The maximum individual trade loss was constrained to -20.02%, which sits close to the overall maximum portfolio drawdown of 21.85%. This alignment indicates that drawdowns were typically driven by single isolated losing trades or brief two-trade losing sequences rather than prolonged cluster periods of failing trades. The combination of a 75.93% win rate and short losing streaks helped preserve equity during market corrections.
Behavior through time and yearly stability
A year-by-year examination reveals shifting performance regimes across different market cycles. Performance was heavily front-loaded in 2020, which delivered a 484.73% cumulative return across 8 completed trades with a 100% win rate. Subsequent years demonstrated lower annual return totals but maintained consistent win rates. In 2021, the strategy executed 15 trades with a 60.00% win rate and a total return of 61.53%. Performance stabilized in 2022 and 2023, recording 23 trades (73.91% win rate, 69.29% sum) and 21 trades (80.95% win rate, 105.55% sum), respectively. Steady performance continued into 2024 with 13 trades, an 84.62% win rate, and a 100.95% sum, followed by 2025 with 17 trades, an 82.35% win rate, and a 106.14% sum. However, in 2026, the strategy experienced performance compression, yielding 11 trades with a reduced win rate of 54.55% and a aggregate return of 2.38%. This temporal shift highlights that while the strategy maintained high win rates from 2022 to 2025, total annual gains were far more modest than those generated in the exception year of 2020.
Recent period since 2024-06-01 versus full history
Focusing on the recent evaluation window from June 1, 2024, to August 3, 2026, the strategy executed 36 completed trades, representing one-third of all historical positions within roughly 26% of the total time horizon. These recent trades generated a cumulative return sum of 200.20%. Comparing this recent sample against the full dataset shows an increase in trade generation density, rising from an overall historical average of 15.69 trades per year to roughly 17 trades per year in the recent period. The recent window encompasses strong years in late 2024 and 2025 alongside the flatter performance observed in 2026. The 200.20% sum recorded since mid-2024 confirms that the strategy retained active trading capability and positive net returns, though the deceleration in 2026 shows that efficiency varies across short-term market environments.
Strengths and limitations
The primary strength of the strategy lies in its high statistical accuracy and disciplined downside risk structure. A 75.93% win rate paired with a maximum losing streak of just 2 trades limits psychological and capital strain during drawdowns, keeping the historical peak-to-trough decline at 21.85%. Additionally, the long average holding duration of 296.01 hours shields the strategy from excessive trade turnover. Conversely, the strategy exhibits notable structural limitations. With only 108 completed trades over nearly seven years, the statistical sample size is relatively small. Furthermore, profit concentration is pronounced: 42.78% of all gross profits stem from just three trades, including an extreme outlier winner of 285.29%. If future market regimes fail to produce fat-tailed directional moves, the strategy's average trade expectation of 8.62% could compress toward its median value of 4.81%.
DevioLab analytical conclusion
The TSLA 15-minute strategy earns its DevioLab rank of #4 for the asset and a score of 76.85 by demonstrating strong historical equity expansion with controlled risk metrics. Its design effectively translates intraday 15-minute price data into multi-day structural holding periods, bridging short-term execution precision with position-style trend capture. The strategy's overall profit factor of 2.22 and high win rate reflect a system that consistently captures profit across diverse annual periods. However, analysts evaluating this profile must account for the heavy mathematical reliance on top-tier winning trades. The overall narrative of 66,075.32% in historical growth is highly influenced by the 2020 return burst and select outlier trades, making ongoing monitoring of trade frequency and winner distribution essential for future performance tracking.
Data scope and methodology
The analytical insights present in this study are derived exclusively from historical backtest performance statistics generated for TSLA on the 15-minute timeframe from September 16, 2019, through August 3, 2026. All reported percentage gains, trade metrics, holding times, and drawdown figures describe simulated historical closed trades and do not represent live brokerage account results. Execution costs, slippage, margin requirements, and order fill dynamics were not incorporated into this statistical summary. Past performance statistics serve as analytical tools for studying system behavior and structural patterns, and they do not guarantee or predict future returns.