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Each algorithmic strategy corresponds to a real trading agent (Trading Bot) created by the DevioLab team from historical-data testing. It can be used for automated trading through supported exchange APIs — Binance, OKX, Bybit, Gate.io, KuCoin and others as they are enabled — or as a Signal Bot with Telegram and email notifications.
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DASHUSDT

Crypto market · Binance
DASH 215000 +147418.39% 1TRAD-KWS8
Archived strategy
192Trades
67.7%Win rate
+4.61%Avg trade
+66.45%Best trade
-36.23%Worst trade
+1,256.7%Annualized
Strategy analytical profile · a26977073c71675b

Algorithmic Strategy Analysis for DASH · DASH on the 15-Minute Timeframe

A detailed quantitative evaluation of the DASH 215000 +147418.39% 1TRAD-KWS8 trading strategy, ranked number one for DASH with a profit factor of 5.0, a 67.88% win rate, and total historical gains of 77295.26%.

Analysis as of 13.08.2026. Strategy data is updated separately.
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Strategy profile

The quantitative model DASH 215000 +147418.39% 1TRAD-KWS8 is designed for automated trading of the DASH crypto asset on a 15-minute timeframe. It holds a DevioLab Score of 62.07 and ranks 1st among all evaluated algorithms for this specific ticker. Classified as a core strategy selected via protected manual or core criteria, the model operates on historical spot-style execution records running through August 10, 2026.

Trading rhythm and position duration

Across its recording window, the strategy executed a total of 193 completed trades. Operating on a 15-minute interval, the strategy seeks short- to medium-term price moves. Metrics covering average and median holding hours, as well as days between exits, are not present in the statistical dataset. Given the total trade count of 193, execution frequency is moderate and does not constitute high-frequency scalping.

Quality of historical results

The performance profile is highlighted by a high profit factor of 5.0. Out of 193 completed trades, 131 were profitable and 62 resulted in losses, yielding a win rate of 67.88%. The average return per trade stands at 4.65%, with a median trade return of 5.38%. The single best trade generated 66.45%. Importantly, the top three winning trades accounted for only 9.35% of total gross profits, demonstrating that historical gains were evenly distributed rather than driven by lucky outliers.

Risk, drawdown and losing behavior

Alongside its positive return metrics, the model carries notable risk characteristics. The maximum historical drawdown reached 48.49%, placing the strategy in an elevated drawdown category. The worst individual losing trade registered at -36.23%. During adverse market conditions, the strategy experienced a maximum consecutive losing streak of 6 trades, contrasted by a peak winning streak of 13 consecutive profitable trades.

Behavior through time and yearly stability

Total historical profit generated by the model reached 77295.26%, corresponding to an annualized figure of 1167.15%. Detailed calendar-year breakdown data is not provided in the source metrics. Consequently, long-term consistency relies on the overall dataset evaluation, where a profit factor of 5.0 across 193 trades confirms strong historical mathematical expectancy.

Strengths and limitations

Key strengths of this model include an exceptional profit factor of 5.0, a solid 67.88% win rate, its top ranking on the DASH asset, and low profit concentration in top winning trades (9.35%). Limitations include a maximum drawdown of 48.49%, a relatively modest sample size of 193 trades, and zero trade activity since June 2024.

DevioLab analytical conclusion

The DASH 215000 +147418.39% 1TRAD-KWS8 strategy demonstrates exceptional historical efficiency on the 15-minute timeframe for DASH. Its DevioLab Score of 62.07 reflects a robust balance between impressive gross profitability and substantial drawdown risk. Analysts should account for recent execution inactivity and apply strict risk controls if considering this algorithm.

Data scope and methodology

All figures and percentages presented in this research report describe historical simulated closed trades. They do not represent exact Binance trading account returns and do not guarantee future performance. This analysis is provided for educational and research purposes only and does not constitute financial advice.

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