AAVEUSDT
Crypto market · BinanceAlgorithmic Strategy Analysis for AAVE · AAVE on the 15-Minute Timeframe
In-depth quantitative analysis of the historical performance of the AAVE 215000 +56012.95% 1TRAD-IHF3 trading algorithm on the AAVE 15-minute timeframe. Comprehensive examination of returns, drawdowns, win rates, and structural trading behavior over a 5.83-year sample.
Analysis as of 13.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The algorithmic trading model designated as AAVE 215000 +56012.95% 1TRAD-IHF3 is structured for the spot crypto market on the 15-minute timeframe for AAVE. Within the DevioLab quantitative rating system, this strategy holds rank 2 for the asset, achieving a DevioLab score of 29.39. It was selected under the minimum ticker fallback protocol. The historical evaluation spans 5.83 years, starting on October 15, 2020, and running through August 13, 2026. Across this extended backtest dataset, the strategy completed a total of 120 trades.
Trading rhythm and position duration
Completing 120 trades across nearly 5.83 years reflects a highly selective trading cadence averaging approximately 20.59 trades per year. Although the model monitors the market using a 15-minute price aggregation timeframe, its entry triggers require specific price conditions, avoiding frequent intra-day churning. Specific metrics regarding average holding hours, median duration, and average days between exits are not available in this dataset. Nevertheless, the annualized trade frequency confirms a patient quantitative structure that filters out short-term market noise.
Quality of historical results
Historical performance figures exhibit strong positive expectancy per trade. Out of 120 total trades, 81 were profitable and 39 closed at a loss, yielding a win rate of 67.50%. The cumulative return across the full historical sample reaches 66,873.60%, which translates to an annualized performance calculation of 357.35%. The average trade gain of 9.20% closely aligns with the median trade gain of 8.15%, indicating consistent trade distribution. The single best trade delivered a gain of 214.37%, while the overall profit factor stands at a solid 2.50.
Risk, drawdown and losing behavior
Alongside substantial historical growth, the strategy exhibits pronounced risk characteristics. The maximum historical drawdown reached 70.45%, illustrating the severe equity contractions typical of unhedged crypto trend models. The worst individual trade recorded a loss of -42.88%. Conversely, the algorithm demonstrated strong winning streak capabilities, achieving a maximum of 12 consecutive winning trades against a maximum losing streak of just 3 trades. Concentration risk is contained, with the top 3 winning trades generating 29.47% of total gross profits.
Behavior through time and yearly stability
Detailed yearly performance breakdowns are not present in the available summary statistics. However, assessing the overall span of 5.83 years provides meaningful context. With roughly 20.59 trades per year, the strategy routinely experiences inactive periods during unfavorable consolidation phases in AAVE. Quantitative investors should anticipate that historical returns in volatile crypto assets tend to concentrate during sudden trending impulses rather than accumulating evenly over calendar years.
Strengths and limitations
Key strengths of this trading model include its high win rate of 67.50%, a robust profit factor of 2.50, and alignment between average trade gain (9.20%) and median trade gain (8.15%). A maximum losing streak of only 3 trades also points to controlled consecutive losses. Primary limitations include the substantial maximum drawdown of 70.45%, the complete absence of trades since June 1, 2024, and the lack of explicit position duration tracking metrics in the source dataset.
DevioLab analytical conclusion
Achieving a DevioLab score of 29.39 and rank 2 for AAVE, this strategy presents a historically compelling profile driven by strong trade expectancy and a high win rate. However, the maximum drawdown of 70.45% requires robust risk controls and appropriate capital allocation. Historical simulated results do not guarantee future performance in live execution environments.
Data scope and methodology
The analysis presented in this report is based on historical simulated closed trades for AAVE on the 15-minute timeframe from October 15, 2020, to August 13, 2026. All percentage metrics describe backtested results and do not represent actual live Binance account trading returns or guarantee future performance. This research is prepared strictly for educational and analytical purposes and does not constitute financial advice.