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Crypto market · BinanceMANA Quantitative Strategy Analysis: 81.58% Historical Win Rate and Swing Dynamics on Decentraland
This empirical strategy evaluation analyzes a 15-minute timeframe quantitative algorithm operating on MANA (Decentraland) across a 5.45-year historical backtest window from August 2020 to January 2026. Generating a cumulative closed trade return sum of +262,125.41% across 152 completed trades, the strategy demonstrates an exceptional 81.58% historical win rate paired with a profit factor of 2.78. Rather than engaging in rapid intraday scalping, the algorithm functions as a patient multi-day swing framework with an average holding duration of 62.68 hours and an average inter-exit spacing of 13.09 days. Gross profits display strong distribution, with the top three winning trades representing only 12.67% of total gains. However, historical risk exposure is highlighted by a maximum drawdown of 37.15%, matching its worst individual closed loss of -37.15%. With a DevioLab Score of 75.88, the strategy ranks second overall for MANA, showing robust persistence through recent market phases with 30 closed trades producing a combined +197.15% return sum since June 2024.
Analysis as of 02.09.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The quantitative strategy designated for MANA (Decentraland) operates on a 15-minute price interval and represents a selective multi-day swing approach tailored to volatile digital asset markets. Recorded over a 5.45-year historical evaluation window running from August 6, 2020, to January 19, 2026, the strategy completed 152 closed trades, achieving a DevioLab score of 75.88 and holding the rank of second overall among evaluated strategies for this specific ticker. Across its total historical sample, the system generated a cumulative closed trade profit sum of +262,125.41%, achieving a profit factor of 2.78. Out of 152 total trade completions, 124 resulted in profitable exits while 28 incurred losses, producing an overall historical win rate of 81.58%. The strategy operates with high selectivity on the 15-minute time step, filtering micro-structure noise to isolate broader structural price expansions in MANA.
Trading rhythm and position duration
Despite utilizing a lower 15-minute chart interval, the strategy exhibits the pacing and structural holding dynamics of a patient swing trading model rather than a high-frequency or scalping algorithm. On an annual basis, the strategy averages 27.87 completed trades, which translates to approximately 2.92 trades per active month. Position holding durations reflect a deliberate multi-day exposure profile: the average holding duration stands at 62.68 hours (approximately 2.61 days), while the median holding duration is 40.50 hours (roughly 1.69 days). The variance between average and median holding times indicates that while most trades conclude within one to two days, select positions extend across longer trends to capture larger directional moves. Furthermore, trade frequency is characterized by significant temporal spacing, with an average of 13.09 days between consecutive trade exits and a median exit interval of 7.01 days. This temporal dispersion underlines an execution policy that stays flat during noise-heavy periods, committing capital only when specific statistical conditions align.
Quality of historical results
The statistical distribution of trade returns demonstrates high consistency and moderate payoff equity. The average closed trade yield across all 152 historical trades is +6.04%, closely matching the median trade return of +5.63%. The close alignment between the average and median return figures indicates that historical expectancy is driven by a stable baseline of positive exits rather than skewed by rare, unrepresentative statistical anomalies. The maximum individual winning trade reached +83.88%, whereas the top three winning trades combined generated 12.67% of the total historical gross profit. This remarkably low profit concentration ratio demonstrates that the strategy's overall capital growth is structural and broad-based, resting on a wide distribution of successful trades rather than extreme reliance on a handpicked few outliers. Combined with an 81.58% hit rate and a profit factor of 2.78, the payoff structure highlights strong statistical expectancy across multi-year testing regimes.
Risk, drawdown and losing behavior
A complete evaluation of the strategy requires examining its downside tail risk and drawdown profile. The historical maximum drawdown recorded over the 5.45-year evaluation period reached 37.15%, which coincides exactly with the single worst individual trade loss of -37.15%. This structural relationship reveals that historical drawdown severity was primarily governed by single deep adverse trade events rather than extended series of compound losses. Indeed, the strategy demonstrates tight loss clustering dynamics, with its longest historical losing streak limited to just 2 consecutive trades, compared to a maximum winning streak of 13 consecutive trades. The primary operational risk for this high-win-rate algorithm is not persistent loss sequences, but rather the magnitude of individual adverse tail events when market conditions suddenly break against an open swing position.
Behavior through time and yearly stability
Historical performance across individual calendar years shows structural adaptiveness across varying market regimes from 2020 through early 2026. In 2020, during the initial strategy history window, 3 completed trades yielded a 100% win rate and a combined return sum of +40.91%. Trade activity expanded during the high-volatility 2021 market cycle, logging 42 completed trades with an 80.95% win rate and a cumulative return sum of +425.35%. During the broader crypto market contraction in 2022, the system completed 41 trades while maintaining profitability, achieving a 73.17% win rate and a +129.73% return sum. In 2023, the algorithm executed 27 trades with an 88.89% win rate (+116.99% sum), followed by 2024 with 22 trades at an 81.82% win rate (+105.26% sum). In 2025, 16 trades produced an 87.50% win rate (+89.99% sum), and early 2026 recorded 1 trade with a 100% win rate (+9.59% sum). Yearly win rates consistently stayed between 73.17% and 100%, illustrating stable edge retention across distinct bull, bear, and lateral market conditions.
Recent period since 2024-06-01 versus full history
The out-of-sample window covering trades closed on or after June 1, 2024, offers critical evidence regarding the strategy's contemporary performance stability. During this recent period, the algorithm completed 30 trades, representing nearly 20% of its total lifetime historical trade count. These 30 recent trades generated a aggregate closed return sum of +197.15%. Comparing this pace to the full history indicates that the strategy's trade frequency and profit generation have remained highly consistent with historical averages. The average return per trade in the recent period closely tracks long-term expectations, confirming that the high-win-rate swing methodology on MANA has maintained its functional edge without showing performance degradation or structural breakdown in recent trading environments.
Strengths and limitations
The primary structural strength of this strategy lies in its high statistical reliability, reflected in its 81.58% overall win rate, 2.78 profit factor, and low profit concentration (top three winners contributing 12.67% of gross profits). The strategy maintains consistent annual profitability without suffering from long losing streaks. However, key limitations must be acknowledged. With an average of 27.87 trades per year and median exit intervals of 7.01 days, capital remains idle for extended periods, requiring operational patience. Additionally, the presence of a worst-case trade loss of -37.15% demonstrates that unmanaged adverse price moves can cause substantial single-trade drawdowns. The system relies heavily on high hit rates to offset asymmetric downside risks during extreme market dislocations.
DevioLab analytical conclusion
Achieving a DevioLab Score of 75.88 and ranking second overall for the MANA asset, this quantitative swing model presents a highly disciplined approach to navigating Decentraland price action. By combining lower-timeframe 15-minute precision with multi-day position holding periods (median 40.50 hours), the strategy successfully captures persistent swing trends while avoiding churn. Its high historical hit rate and robust performance across all individual calendar years from 2020 through 2026 provide compelling quantitative evidence of edge stability. Traders evaluating this model must weigh its high win-rate consistency against its moderate trade frequency and potential exposure to deep individual trade drawdowns.
Data scope and methodology
This quantitative research report is based exclusively on simulated historical backtest results for the MANA 15-minute strategy covering the period from August 6, 2020, to January 19, 2026. All reported statistics are calculated on a closed-trade basis using completed execution timestamps in UTC. Cumulative trade return percentages represent the simple uncompounded mathematical sum of closed trade percentage gains and losses. Recent performance metrics reflect all completed trades with exit timestamps on or after June 1, 2024. These historical backtested data are analyzed purely for quantitative research purposes and do not account for variable exchange fees, slippage, order routing delays, or liquidity constraints. Historical performance is not indicative or predictive of future live trading results.