SPCX · Space Exploration Technologies Corp.
Stock Universe · global stock marketQuantitative Strategy Analysis for SPCX · Space Exploration Technologies Corp. on 15m Timeframe
An analytical study of an algorithmic trading model for SPCX in the stock market. The strategy achieved a 100% win rate and 70.29% total gain over a short evaluation window of 2 trades.
Analysis as of 15.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
This algorithmic trading strategy is engineered for Space Exploration Technologies Corp. under the ticker SPCX within the stock market on a 15-minute chart interval. In the current analytical evaluation, the strategy holds rank 1 for this ticker, selected via a minimum ticker fallback, with a DevioLab Score of 0. It is not designated as a core strategy model. Over the monitored dataset history of approximately 0.18 years, the algorithm generated a cumulative return of 70.29%, matching its annualized calculation of 70.29%.
Trading rhythm and position duration
Operating on a 15-minute execution timeframe, the strategy exhibits an extremely selective trade generation rhythm. Across the recorded history, the model completed only 2 trades, translating to an annualized pace of roughly 11.37 trades per year. Detailed metric tracking for average or median holding duration in hours, as well as days between trade exits, is unavailable in the dataset. This low trade count indicates that the entry criteria trigger only during specific, infrequent market states.
Quality of historical results
In terms of trading performance, the strategy holds a 100% win rate across its 2 completed trades, incurring zero losing trades. The average return per trade stands at 30.91%, while the median trade gain reached 38.57%. The best trade achieved a 38.57% profit, and the lowest trade return recorded a positive 23.26%. The recorded profit factor is 5, with the total cumulative gain of 70.29% entirely generated by these two successful executions.
Risk, drawdown and losing behavior
The maximum drawdown recorded across the dataset is 0%, directly resulting from the absence of closed losing positions. The longest winning streak is 2 trades, while the losing streak remains at 0. The top winning trades account for 100% of the gross profits. While a zero drawdown figure is optimal in backtest metrics, it must be interpreted cautiously due to the sample size of just 2 trades, which provides limited exposure to adverse market conditions.
Behavior through time and yearly stability
The evaluated dataset covers a brief span from June 12, 2026, to August 15, 2026, representing approximately two months or 0.18 years. Owing to this constrained window, no yearly performance breakdown is available. The algorithm demonstrated strong efficiency during this specific mid-2026 window, but its multi-year consistency and adaptability across varying market regimes remain unproven.
Recent period since 2024-06-01 versus full history
All recorded historical data for this strategy resides within the mid-2026 timeframe. Consequently, activity metrics specifically designated since June 1, 2024, reflect 0 trades prior to the dataset execution window. A comparative evaluation between older and newer historical regimes is not applicable given the localized sample period.
Strengths and limitations
Key strengths include pristine historical accuracy with a 100% win rate, a maximum drawdown of 0%, a high profit factor of 5, and a solid cumulative return of 70.29%. The primary limitations stem from the statistical sample size of only 2 trades over 0.18 years, unrecorded holding duration metrics, and a lack of testing across broader equity market environments.
DevioLab analytical conclusion
Holding rank 1 for SPCX via fallback selection with a DevioLab Score of 0, this strategy demonstrates outstanding short-term execution metrics. However, with only 2 closed trades recorded, statistical significance is minimal. Quantitative analysis suggests observing the model over an extended period to confirm statistical stability before drawing definitive conclusions.
Data scope and methodology
This analysis is based on simulated historical closed trade results for Space Exploration Technologies Corp. on 15-minute price bars from June 12, 2026, to August 15, 2026. All reported performance figures describe historical backtested trades and do not constitute investment advice or guarantees of future execution results.