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加密市场 · BinanceNEAR · NEAR 15-Minute Strategy Analysis: High Profit Factor and Deep Historical Drawdown
A detailed quantitative evaluation of the NEAR 215000 +225292.18% 1TRAD-BXE1 algorithmic strategy for NEAR. Featuring a 71.89% win rate, 166795.78% total historical profit, and a 5.0 profit factor alongside a heavy 84.24% maximum drawdown.
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Strategy profile
The NEAR 215000 +225292.18% 1TRAD-BXE1 algorithmic setup is designed for spot-style trading on the NEAR digital asset. Operations are calculated on a 15-minute timeframe. The historical dataset covers a total span of 5.83 years, extending from October 14, 2020, through August 12, 2026. All reported statistics derive strictly from closed backtested simulated trades without leverage. With a DevioLab Score of 35.35, this strategy ranks first among configurations for this ticker under the fallback selection criteria. Over the entire backtest window, the model executed 249 completed trades. The architecture aims to capture structured directional moves while maintaining a controlled trading frequency.
Trading rhythm and position duration
Across the 5.83 years of history, the system generated 249 completed round-trip trades, reflecting an annualized pace of 42.73 trades per year. This frequency reflects a selective entry system rather than high-frequency execution or scalping. Trades are initiated only when specific technical conditions align on the 15-minute bar structure. Specific metrics regarding average and median holding hours, as well as duration between exit points, are not recorded in the raw telemetry dataset. However, the moderate annual pace of approximately 42 trades per year indicates that trades typically develop over several hours to days depending on market volatility.
Quality of historical results
The strategy demonstrated exceptional historical accuracy and cumulative growth. Total simulated profit over the entire research period reached 166795.78%, translating to an annualized return of 150.86%. Out of 249 total trades, 179 ended in profit, yielding a high win rate of 71.89%, while 70 trades recorded losses. The system achieved a Profit Factor of 5.0, reflecting strong gross profit generation relative to gross losses. The average gain per trade stood at 4.19%, with a median trade outcome of 5.32%. Notably, the top 3 winning trades accounted for only 7.27% of total gross profit. This confirms that performance was driven by consistent win distribution across many trades rather than a few lucky outliers.
Risk, drawdown and losing behavior
Despite strong overall returns, the quantitative profile reveals severe downside volatility. The historical maximum equity drawdown reached 84.24%. This demonstrates that during unfavorable market phases, the strategy experienced severe capital contractions requiring substantial risk tolerance. The single worst trade resulted in a loss of -47.67%, while the single best trade generated 50.82%. The longest winning streak reached 14 consecutive trades, whereas the maximum consecutive losing streak was limited to 5 trades. The co-existence of deep drawdown with short losing streaks suggests that drawdown depth was driven by trade loss magnitude rather than extended loss frequency.
Behavior through time and yearly stability
Spanning nearly six years of data, the backtest evaluates performance across multiple market cycles for NEAR. The high win rate supported steady equity expansion during favorable trend periods. Granular calendar year breakdowns are unavailable in the telemetry array, leaving overall aggregate metrics as the primary source of historical stability analysis. The consistent median trade return of 5.32% points to reliable expected payoff per trade throughout active regimes.
Strengths and limitations
Key strengths of this model include its high win rate of 71.89%, an exceptional Profit Factor of 5.0, and well-distributed earnings where the top three winning trades contribute only 7.27% of gross profit. This reduces reliance on extreme market outliers. The primary limitation lies in its extreme historical drawdown of 84.24% and a severe single-trade worst loss of -47.67%. Additionally, the lack of completed trades in the recent period since mid-2024 requires consideration when evaluating real-time operational status.
DevioLab analytical conclusion
The NEAR 215000 +225292.18% 1TRAD-BXE1 strategy stands out for its high historical precision and total cumulative gain of 166795.78% over a 5.83-year dataset. However, the 84.24% drawdown highlights significant capital risk. This strategy serves as an insightful quantitative benchmark for high-accuracy spot models on NEAR, though capital allocation would require strict risk controls.
Data scope and methodology
All metrics presented in this analysis derive from historical simulated spot performance on NEAR using 15-minute price data from October 14, 2020, to August 12, 2026. Calculations do not account for exchange fees, slippage, or execution latency. Past backtested performance is not predictive of future results and does not constitute financial advice. The dataset start date indicates the beginning of available history for testing rather than asset launch or exchange listing dates.