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Instrument boursier · exécution via BinanceIBM · International Business Machines Corporation: 15m Quantitative Strategy Analysis (IBMB 0 +1588.79% 1TRAD-VKM3)
Detailed quantitative evaluation of the IBMB 0 +1588.79% 1TRAD-VKM3 algorithmic strategy on International Business Machines Corporation (IBM). Based on 31 closed trades across 6.93 years of historical stock data, this core strategy achieved an 87.10% win rate, a profit factor of 5.94, and a total gain of +1588.79%.
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Strategy profile
The IBMB 0 +1588.79% 1TRAD-VKM3 strategy is a quantitative trading algorithm applied to International Business Machines Corporation (IBM) on a 15-minute chart interval. It is classified as a core balanced strategy and holds rank 3 for the IBM ticker within the DevioLab framework, featuring a DevioLab Score of 79.02. The evaluated historical dataset spans 6.93 years from September 16, 2019 to August 19, 2026.
Trading rhythm and position duration
Despite running on a 15-minute candle interval, the strategy operates with extreme selectivity. Over nearly seven years of history, it registered only 31 completed trades, translating to roughly 4.48 trades per year. This execution model is strictly non-scalping and represents a low-frequency position strategy. Specific average holding hours are not detailed in the dataset, but the low trade frequency highlights prolonged filtering between entries.
Quality of historical results
Across the entire backtest, the algorithm delivered a cumulative closed return of +1588.79%, corresponding to an annualized metric of 259.10%. Out of 31 total closed trades, 27 were profitable, establishing a high win rate of 87.10%. The average trade gain stood at +10.38% with a median return of +9.05%, while the single best trade generated +44.88%. The profit factor reached 5.94, and the top 3 winning trades represented 30.99% of total gross profits, reflecting a well-distributed return profile.
Risk, drawdown and losing behavior
Downside exposure remained tightly controlled throughout the sample. The maximum historical drawdown was capped at 15.96%, matching the loss of the single worst trade (-15.96%). Only 4 losing trades occurred across the entire 6.93-year timeline. The strategy sustained a peak winning streak of 17 consecutive trades, whereas its longest losing streak was limited to just 1 trade.
Behavior through time and yearly stability
The sample period spans 6.93 years of stock price movement. Due to the sparse trading frequency, detailed annual breakdowns are omitted from the statistical set. Performance gains were concentrated during distinct market expansions, interspersed with long passive observation phases.
Strengths and limitations
Key strengths include an outstanding 87.10% win rate, a strong 5.94 profit factor, low drawdown (15.96%), and minimal transaction costs due to low trade execution. Primary limitations center on the small sample size of 31 trades over nearly seven years, which reduces statistical certainty and demands high patience during long periods of inactivity.
DevioLab analytical conclusion
With a DevioLab Score of 79.02 and a rank 3 position for IBM, this strategy demonstrates robust historical risk-adjusted efficiency. It is suitable for systematic market participants seeking highly filtered, high-probability trades with low drawdown tolerances. Users must note that small sample backtests do not guarantee future live returns.
Data scope and methodology
This analysis utilizes historical stock market data for International Business Machines Corporation (IBM) from 2019-09-16 to 2026-08-19 on 15m intervals. Figures represent simulated historical closed trades and do not represent live account trading guarantees or investment advice.