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Kryptomarkt · BinanceONE Quantitative Strategy Analysis: Evaluating the 76.64% Win Rate, High Asymmetry, and Structural Trade Frequency Shifts in ONE
This analytical report evaluates the historical backtest metrics of the ONE 215000 +0.00% 1TRAD-XFA5 trading strategy on the ONE cryptocurrency across a 5.29-year evaluation history from June 2020 to October 2025. Generating a total simulated closed profit sum of 51,003.88% across 137 completed trades, the strategy demonstrates a high win rate of 76.64% and a robust profit factor of 3.13. However, an in-depth examination of the underlying statistical distribution reveals critical structural characteristics, including a sharp reduction in trade frequency following 2021, a maximum historical drawdown of 40.69%, and a single worst trade of -34.09%. While recent behavior since June 2024 produced a cumulative return sum of +184.07% across 4 completed trades, the low trade count highlights the need to interpret recent performance through the lens of limited statistical sample size.
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Strategy profile
The strategy, designated as ONE 215000 +0.00% 1TRAD-XFA5, operates within the crypto market on the ONE asset using a 15-minute timeframe resolution. Over a 5.29-year observation window spanning from June 30, 2020, to October 12, 2025, the model recorded 137 completed trades, resulting in a DevioLab score of 67.82 and securing the rank of 2 for this specific ticker. Across its full historical execution lifecycle, the strategy generated an aggregate summed trade return of 51,003.88%, corresponding to an annualized benchmark metric of 245.54%. The underlying performance is characterized by 105 winning trades against 32 losing trades, yielding a baseline win rate of 76.64% and an overall profit factor of 3.13. These metrics establish a high historical hit rate baseline, though an accurate appraisal of the strategy requires analyzing how these returns were distributed across position durations, market phases, and individual trade payoffs.
Trading rhythm and position duration
Although executed on a 15-minute chart interval, the strategy operates as a multi-hour to multi-day swing framework rather than an intra-hour scalping model. The average holding duration across all historical positions is 29.39 hours, while the median holding duration stands at 21.75 hours. This relative alignment between mean and median holding times indicates that positions typically remain open for roughly one to one-and-a-half days before exit triggers are met. In terms of trade cadence, the strategy exhibits an average exit pacing of 12.53 days between trades, whereas the median time between exits is substantially lower at 2.92 days. The divergence between mean and median exit spacing points to episodic trade clustering: the model experiences periods of concentrated execution separated by prolonged multi-week dormant phases. On an annualized basis, the strategy completed 25.92 trades per year, which translates to approximately 5.71 trades per active month. This execution density classifies the system as a selective, moderate-frequency strategy that filters for specific structural setups rather than maintaining constant market exposure.
Quality of historical results
The strategy's payout distribution exhibits solid symmetry across typical trades, accompanied by distinct positive tail risk. The expected value per trade is positive, with an average trade return of +5.67% and a median trade return of +5.26%. The close proximity of the median to the average demonstrates that the strategy's day-to-day profit generation does not rely exclusively on extreme statistical anomalies; rather, the typical closed trade delivers a steady positive expectancy. Nevertheless, upside tail events exert a noticeable influence on total net profitability. The strategy's single best trade recorded a gain of +146.02%, and the top three winning trades collectively account for 21.19% of the total gross profit. This concentration factor of 21.19% suggests a healthy balance: while outlier gains accelerate equity curve expansion, the broader baseline of 105 winning trades ensures that profit generation remains reasonably distributed across the sample rather than entirely dependent on a tiny handful of lucky events.
Risk, drawdown and losing behavior
Despite maintaining a 76.64% win rate and a profit factor of 3.13, the strategy exposes capital to material historical drawdowns. The peak-to-trough maximum drawdown recorded during the 5.29-year historical testing window reached 40.69%. Analyzing the drawdown structure alongside trade performance metrics illuminates the core source of capital stress. The strategy's worst single trade generated a loss of -34.09%, illustrating that negative outcomes can be severe relative to the average positive trade of +5.67%. Interestingly, risk accumulation is driven by the magnitude of individual adverse exits rather than extended losing sequences. The strategy's longest consecutive losing streak was limited to just 3 trades, compared to a maximum consecutive winning streak of 18 trades. This dynamic creates a distinct psychological and quantitative profile: while trade series are predominantly characterized by frequent wins and long winning runs, occasional severe downside events can produce sharp equity pullbacks that require patience to recover.
Behavior through time and yearly stability
A detailed examination of the strategy's yearly breakdown reveals pronounced temporal shifts in trade frequency and gross return distribution. In 2021, the strategy experienced its most active phase, completing 92 trades (67.15% of its total lifetime sample) with an 80.43% win rate (74 wins, 18 losses) and generating a summed return of +540.86%. Activity contracted substantially in 2022, yielding 34 trades, a 64.71% win rate (22 wins, 12 losses), and a cumulative return sum of +12.61%. In 2023, the strategy entered extreme selectivity, recording only 2 completed trades, both of which were profitable (+17.31% sum return). The model completed 7 trades in 2024, achieving a 71.43% win rate (5 wins, 2 losses) and a sum return of +34.45%. In 2025, trade frequency remained sparse with 2 trades, but both were highly expansive wins, producing a combined return sum of +171.16%. The structural drop in annual trade counts from 92 trades in 2021 to single-digit executions in subsequent years highlights that historical performance was heavily concentrated in specific early market regimes.
Recent period since 2024-06-01 versus full history
Evaluating performance in the recent observation window from June 1, 2024, to October 12, 2025, provides crucial insight into the strategy's recent operational profile. During this window, the strategy completed 4 trades, generating a cumulative return sum of +184.07%. When compared to the full historical record of 137 trades, the recent window reflects an environment of exceptionally low execution frequency combined with unusually large individual trade payoffs. While a return sum of +184.07% across 4 trades represents strong capital efficiency per trade event, the statistical power of a 4-trade sample is inherently limited. Consequently, recent metrics cannot be interpreted as a standalone validation of long-term consistency, but rather as evidence that the strategy continues to encounter its intended entry and exit criteria on an infrequent, highly opportunistic basis.
Strengths and limitations
The strategy's primary statistical strength resides in its robust win rate of 76.64% combined with an overall profit factor of 3.13. Its ability to achieve a maximum winning streak of 18 consecutive trades while capping losing streaks at 3 trades provides significant stability during favorable regimes. Furthermore, the close alignment between average trade (+5.67%) and median trade (+5.26%) confirms a stable, positive central expectation for typical trades. Conversely, the strategy exhibits major limitations regarding tail risk and regime dependency. The maximum historical drawdown of 40.69% and a worst-case loss of -34.09% indicate significant downside vulnerability when market conditions violate model assumptions. Additionally, the severe contraction in trade volume after 2021—declining from 92 trades in 2021 to single-digit annual execution counts in recent years—demonstrates that the strategy's historical returns are unevenly distributed across time.
DevioLab analytical conclusion
With a DevioLab score of 67.82 and a rank of 2 for the ONE token, this strategy presents a quantitatively compelling yet highly specific statistical profile. The model successfully combines a high historical hit rate with strong reward-to-risk dynamics on typical positions, supported by an average holding time of 29.39 hours that effectively captures intermediate price swings. However, analysts must weigh these historical accomplishments against the system's structural constraints. The presence of a 40.69% maximum drawdown and a -34.09% worst single trade underscores the necessity of strict risk management. Furthermore, the heavy concentration of trade sample size in 2021 means that ongoing evaluation requires monitoring whether low recent execution frequencies persist over extended forward-testing horizons.
Data scope and methodology
The statistical findings in this report are derived strictly from backtested closed trade logs for the strategy ONE 215000 +0.00% 1TRAD-XFA5 on the asset ONE across the time interval from June 30, 2020, to October 12, 2025. All metrics, including profit sums, win rates, drawdowns, and holding periods, represent simulated outcomes calculated upon position close timestamps. Performance figures do not account for live market slippage, exchange fee structures, execution latency, or dynamic margin costs, nor do they guarantee future investment returns. This document serves exclusively as objective quantitative research and does not constitute financial or investment advice.