DCRUSDT
Crypto market · BinanceDCR · DCR Quantitative Strategy Analysis: 15-Minute Algorithmic Performance
An in-depth quantitative analysis of the 15-minute trading strategy for DCR, featuring a 72.97% win rate, a profit factor of 6.43, and cumulative historical closed-trade growth of 222003.01% across 111 executions.
Analysis as of 13.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The algorithmic model named DCR 215000 +291521.92% 1TRAD-KYE7 is built for 15-minute chart intervals trading the crypto asset DCR. It holds core strategy status within the benchmark directory, ranking 6th among evaluated strategies for this specific ticker. The internal evaluation framework assigns it a DevioLab Score of 43.60. Its protected selection status reflects a curated position within the historical research dataset.
Trading rhythm and position duration
Over the tracked backtest history, the algorithm executed 111 completed trades. Specific holding period duration metrics such as average or median holding hours are not present in the dataset, nor are annualized or monthly execution frequency averages provided. Lacking explicit time-in-trade metrics, this strategy cannot be categorized as scalping despite operating on a 15-minute timeframe. A total of 111 completed trades represents a selective entry structure rather than high-frequency execution.
Quality of historical results
Historical closed trades display a strong win distribution, with 81 winning trades out of 111 total executions, establishing a 72.97% win rate against 30 losing trades. The profit factor stands at 6.43, demonstrating robust gross profits relative to gross losses. The average return per trade is 10.36%, with a median trade return of 9.01%. The single best trade delivered a 178.08% return. Furthermore, the top 3 winning trades account for 22.44% of gross historical profits, indicating balanced gain distribution rather than total reliance on a single extreme win. Total cumulative historical return reached 222003.01%, accompanied by an annualized metric of 1053.72%.
Risk, drawdown and losing behavior
Despite the high win frequency, the strategy exhibits elevated drawdown risk. The maximum historical drawdown reached 61.51%, highlighting significant equity swings during adverse market phases. The worst individual trade generated a loss of -58.16%, demonstrating substantial tail risk on specific positions. On a streak basis, the longest consecutive losing streak was capped at 3 trades, whereas the longest consecutive winning streak reached 12 trades.
Behavior through time and yearly stability
Detailed yearly performance breakdowns are not available in the underlying dataset, and an explicit start date is not defined, though dataset coverage ends on 2026-08-10. Without year-by-year performance records, consistency across individual market cycles cannot be verified line by line. Performance evaluation is grounded in the overall 111 trade aggregate statistics.
Strengths and limitations
Primary strengths include a high 72.97% win rate, a robust profit factor of 6.43, a healthy median return of 9.01%, and controlled profit concentration with the top 3 winners representing 22.44% of gross gains. Key limitations encompass a deep maximum drawdown of 61.51%, a heavy single worst-case trade loss of -58.16%, a modest total sample size of 111 trades, and complete execution inactivity since June 2024.
DevioLab analytical conclusion
Carrying a DevioLab Score of 43.60 and a rank of 6 for DCR strategies, this trading model demonstrates high profit efficiency and trade quality during active market phases. However, the notable peak-to-trough drawdown of 61.51% and recent trading inactivity emphasize the necessity for strict risk limits and careful capital management.
Data scope and methodology
All cited metrics are derived strictly from historical simulated closed trade data ending on 2026-08-10. These figures reflect past backtest calculations, do not represent live trading account equity, and offer no guarantee of future performance.