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DCRUSDT

Crypto market · Binance
DCR 215000 +5141385.29% 1TRAD-UZZ5
196Trades
71.9%Win rate
+6.87%Avg trade
+87.30%Best trade
-35.47%Worst trade
+1,652.5%Annualized
Strategy analytical profile · 375dd9fb32d85b3f

Quantitative Strategy Analysis: DCR · DCR 15-Minute Model Performance

An analytical evaluation of the top-ranked quantitative trading strategy for DCR, featuring a 71.28% win rate, a 3.57 profit factor, and a detailed assessment of historical drawdowns.

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

This algorithmic trading model is tailored for the DCR cryptocurrency asset operating on a 15-minute chart interval. Across all evaluated setups for this asset, the algorithm holds the number 1 rank with a DevioLab Score of 71.47. Designated under the code DCR 215000 +5141385.29% 1TRAD-UZZ5, it is categorized as a specialized non-core strategy. In the spot crypto market structure, this model relies on strict statistical thresholds on the 15m timeframe to capture directional price movements.

Trading rhythm and position duration

Over its full historical dataset ending on August 10, 2026, the strategy recorded 195 completed trades. This trade volume reflects a measured and selective execution frequency rather than rapid-fire turnover. Specific holding duration metrics, including average holding hours, median holding hours, trade frequency per year, and days between exits, are not present in the dataset. Due to the lack of explicit position duration metrics, describing this system as a scalper would be inaccurate despite its 15-minute chart resolution.

Quality of historical results

The strategy achieved an all-history total profit of 3,828,674.21% across 195 closed positions. Out of these, 139 were winning trades and 56 were losing trades, resulting in a win rate of 71.28%. The profit factor reached 3.57, pointing to robust profit capture relative to losses. The average trade return was 6.94%, while the median trade return stood at 7.12%. Profit distribution was well balanced across trades, with the top 3 winning trades generating only 10.60% of gross profits. Under the standard annualized calculation model on a 47,000 basis, the strategy generated an annualized equivalent of 1,125.33%.

Risk, drawdown and losing behavior

The strategy historical risk profile reflects notable equity swings. Maximum drawdown reached 48.15%, indicating significant peak-to-trough equity contraction during adverse movements. The single worst trade recorded a loss of -35.47%, whereas the single best trade generated a return of 87.30%. Consecutive performance statistics highlight high momentum consistency, featuring a peak winning streak of 20 trades compared to a maximum losing streak of 4 trades.

Behavior through time and yearly stability

Granular annual breakdowns and dataset start dates are omitted from the underlying statistical record. Consequently, year-by-year stability metrics across different market regimes cannot be isolated. Nevertheless, the total sample of 195 trades provides a coherent overview of the edge demonstrated by the model across its active testing span.

Strengths and limitations

Key strengths include its rank 1 status for DCR, a solid win rate of 71.28%, a strong profit factor of 3.57, and low profit concentration with top 3 trades contributing 10.60%. Main limitations center on a heavy maximum drawdown of 48.15%, a severe worst-trade loss of -35.47%, zero active trades since June 1, 2024, and a relatively small sample size of 195 total trades.

DevioLab analytical conclusion

With a DevioLab Score of 71.47, the strategy demonstrates outstanding historical return metrics and high win consistency on DCR. However, the maximum drawdown of 48.15% and recent inactivity require careful consideration. Past backtest results do not guarantee future live trading performance.

Data scope and methodology

All percentage metrics reported herein describe historical simulated closed trades on 15-minute timeframe data ending August 10, 2026. These figures do not represent live Binance exchange trading results and should not be treated as financial advice.

Full strategy analysis