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DOTUSDT

Crypto market · Binance
DOT 215000 +509773.69% 1TRAD-MBK0
Archived strategy
194Trades
75.8%Win rate
+5.27%Avg trade
+69.22%Best trade
-28.78%Worst trade
+283.8%Annualized
Strategy analytical profile · e8789a165dfd23c8

Quantitative Analysis of DOT · DOT 15-Minute Strategy

Detailed quantitative evaluation of a top-3 15-minute trading strategy for DOT, featuring a 75.77% win rate, a 7.50 profit factor, and cumulative historical closed-trade returns of 509,773.69% across nearly six years of data.

Analysis as of 14.08.2026. Strategy data is updated separately.
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Strategy profile

This quantitative study examines a 15-minute execution model tailored for DOT. Within the DevioLab framework for this asset, the algorithm ranks 3rd among evaluated strategies, achieving a DevioLab Score of 52.87. Operating on 15-minute price bars, the system automates decision-making across a backtested historical span of nearly six years, beginning on August 18, 2020, and concluding on August 11, 2026. Over this sample, the model achieved a cumulative historical closed-trade profit of 509,773.69%, corresponding to an annualized return metric of 283.82%. These statistics reflect simulated historical spot execution and represent analytical backtest findings rather than guaranteed future performance.

Trading rhythm and position duration

Over the 5.98 years evaluated, the algorithm generated a total of 194 completed trades, which translates to an average trading frequency of 32.44 trades per year. This pace reflects a selective trading profile, entering approximately two to three positions per month rather than engaging in continuous trading activity. Although the strategy evaluates 15-minute price action, granular holding duration figures such as average or median holding hours and days between exits are not available in the provided dataset. Nevertheless, the total trade count establishes that entry triggers are highly filter-bound.

Quality of historical results

The strategy demonstrates high statistical accuracy in its historical execution. Out of 194 closed trades, 147 were profitable and 47 ended in a loss, resulting in a win rate of 75.77%. The system recorded a profit factor of 7.50, indicating that total gross profits exceeded gross losses by seven and a half times. Returns are consistently distributed across trades: the average trade return is 5.27%, while the median trade return stands at 6.28%. The best single trade achieved a gain of 69.22%. Importantly, the top three winning trades accounted for only 10.38% of total gross profits, proving that performance is driven by a repeatable edge rather than isolated outliers.

Risk, drawdown and losing behavior

Despite strong profitability metrics, the strategy exhibits notable historical risk parameters. The maximum peak-to-trough drawdown reached 51.90% during the testing period. On a single-trade level, the worst recorded loss was -28.78%. In terms of sequential outcomes, the algorithm achieved a maximum winning streak of 19 consecutive trades, compared to a maximum losing streak of 4 trades. The combination of a 75.77% win rate with a drawdown exceeding 51% highlights that when losing cycles occurred, they caused substantial temporary equity contractions.

Behavior through time and yearly stability

Evaluating stability over time requires assessing performance across varying market conditions. Granular year-by-year breakdowns are not provided in this statistical sample. However, across the entire 5.98-year horizon, the regular generation of 194 total trades with a 75.77% accuracy rate points to structural adaptability across different market cycles in DOT. Without yearly breakdown logs, specific annual return volatility cannot be isolated in this report.

Strengths and limitations

The primary strengths of this model include its 75.77% win rate, a profit factor of 7.50, and a balanced profit profile where the top three trades represent only 10.38% of gross gains. A peak winning streak of 19 trades further demonstrates high entry precision. Key limitations include a maximum historical drawdown of 51.90%, a worst single trade loss of -28.78%, a moderate sample size of 194 trades over nearly six years, and the complete absence of trade triggers since June 2024.

DevioLab analytical conclusion

Holding the 3rd position for DOT with a DevioLab Score of 52.87, this 15-minute quantitative strategy combines high win-rate precision with substantial peak drawdown exposure. Its historical return of 509,773.69% highlights the robustness of its logic over multi-year trends. However, the zero-trade regime observed since June 2024 and the 51.90% historical drawdown underscore the importance of realistic expectations and disciplined risk control.

Data scope and methodology

This analysis is based on historical backtested data for DOT on the 15-minute time frame from August 18, 2020, to August 11, 2026 (spanning 5.98 years). All performance metrics, including trade counts, profit factors, win rates, and drawdowns, are derived from closed simulated spot trades under historical conditions. These metrics represent historical backtest evaluation and do not guarantee future live trading results.

Full strategy analysis