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Crypto market · BinanceDYDX · DYDX 15m Strategy Analysis: Quantitative Evaluation of DYDX 215000 +86515.93% TRAD-TYT3
In-depth quantitative performance report for the DYDX algorithmic trading strategy on the 15-minute timeframe. The model achieved a 72.54% win rate across 295 completed trades with a cumulative historical gain of 64685.59% and a maximum drawdown of 53.01%.
Analysis as of 13.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The quantitative trading model DYDX 215000 +86515.93% TRAD-TYT3 is engineered for trading the DYDX crypto asset on a 15-minute timeframe. Ranked 2nd for this ticker within the DevioLab framework, it carries a score of 61.25. Designated as a core strategy, the algorithm displays a cumulative historical performance of 64685.59% across its record through August 10, 2026. The dataset start date is not specified in the underlying repository, so findings reflect the sample of 295 fully completed trades.
Trading rhythm and position duration
Throughout the recorded evaluation period, the strategy closed 295 trades. Specific metrics for average or median holding hours and days between exits are not present in the supplied statistics. Consequently, we avoid classifying this system as high-frequency or scalping. Operating on a 15-minute chart, the strategy captures localized price movements in DYDX without relying on continuous, high-volume order flow.
Quality of historical results
The strategy maintains strong win rate characteristics, successfully winning 72.54% of its positions. Out of 295 trades, 214 ended in profit and 81 closed at a loss. The average return per trade stands at 2.68%, while the median trade yield is higher at 3.44%, proving that returns are broadly distributed across multiple setup realizations. The best single trade registered a 32.40% gain, and the top 3 winning trades account for only 5.76% of gross profit. The system reflects a profit factor of 1 and an annualized return scaling metric of 344.70%.
Risk, drawdown and losing behavior
Despite its high precision, the model exhibits a elevated risk profile. The worst individual trade suffered a loss of -33.15%, and the peak historical drawdown reached 53.01%. This drawdown magnitude justifies the elevated-drawdown classification tag. Risk distribution reveals resilience in sequence lengths: the longest winning streak reached 16 consecutive trades, whereas the longest losing streak stopped at 3 trades, showing rapid recovery from consecutive losses despite potential single-trade tail risk.
Behavior through time and yearly stability
Yearly breakdowns and active monthly trade counts are not provided in the source metrics. Because annual segmented statistics are omitted, performance cannot be evaluated across individual calendar years. The performance profile relies on the overall aggregated history of 295 trades, which demonstrates consistent compounding power driven by high win frequency and low profit concentration.
Strengths and limitations
The main strengths of the strategy include its 72.54% win rate, exceptional gain distribution with the top 3 winners representing just 5.76% of gross profit, and a 16-trade winning streak paired with a short 3-trade losing streak. Key limitations stem from the 53.01% peak drawdown, a single trade loss reaching -33.15%, zero trade executions since June 2024, and the lack of yearly granular breakdown data.
DevioLab analytical conclusion
The DYDX 215000 +86515.93% TRAD-TYT3 model stands out as the #2 ranked algorithm for DYDX with a DevioLab score of 61.25. It presents compelling historical equity growth on the 15-minute timeframe. However, traders should carefully weigh its substantial historical drawdown and note the recent inactivity period when considering its overall quantitative profile.
Data scope and methodology
This analysis relies strictly on historical simulated closed trades for cryptocurrency spot data ending on August 10, 2026. All percentage metrics reflect closed historical trades. They do not represent live Binance account yields, nor do they guarantee future strategy behavior.