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Crypto market · BinanceQuantitative Analysis of LDO Strategy 215000 +30770.05% 1TRAD-LTL3: High-Win-Rate Swing Trading Mechanics
This quantitative evaluation inspects the historical performance profile of the 15-minute algorithmic strategy LDO 215000 +30770.05% 1TRAD-LTL3 operating on LDO. Over a 3.45-year evaluation window from May 2022 to October 2025, the strategy executed 45 completed trades, securing an 86.67% win rate, a profit factor of 8.13, and a peak historical drawdown of 13.64%. Despite utilizing a 15-minute timeframe for signal generation, the strategy exhibits an average position holding duration of 160.38 hours (approximately 6.68 days), placing it firmly within a patient, multi-day swing trading archetype. Analysis of profit distribution shows that the top three winning trades account for 25.19% of total gross profits, reflecting a broadly distributed gain profile rather than reliance on extreme single-trade outliers.
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Strategy profile
The algorithmic model LDO 215000 +30770.05% 1TRAD-LTL3 is a specialized trading system evaluated on the crypto asset LDO using a 15-minute execution chart. Within the DevioLab framework, the strategy holds a DevioLab Score of 76.23 and occupies rank 6 for the LDO asset. The backtested dataset spans 3.45 years, beginning on May 9, 2022, and concluding on October 21, 2025. Over this multi-year observation period, the strategy logged a total of 45 completed trades. This generates an annualized frequency of approximately 13.03 trades per year, or roughly 1.55 trades per active month. The structural footprint of the strategy demonstrates an intentional filter for lower trade frequency, eschewing the noisy execution patterns typically associated with lower intraday timeframes. Across the complete history, the aggregate sum of trade percentages reached 30,770.05%, reflecting compounding historical output alongside an annualized rate metric of 2,018.91%. These performance metrics establish a historical footprint characterized by highly selective entry triggers and extended holding cycles.
Trading rhythm and position duration
A structural examination of the strategy reveals a distinct divergence between its technical signal chart and its operational holding duration. Although configured on a 15-minute execution timeframe, the strategy exhibits an average holding time of 160.38 hours (roughly 6.68 days) and a median holding time of 114.50 hours (approximately 4.77 days). This statistical gap indicates that while entry and exit signals are monitored on fine-grained 15-minute candles, positions are regularly held across multiple calendar days to capture macroeconomic macro-swings in LDO. The temporal spacing between completed trades further emphasizes this low-frequency rhythm. The strategy demonstrates an average of 26.86 days between exits, with a median exit interval of 18.29 days. This structure indicates that market exposure is intermittent rather than continuous. The strategy frequently remains in cash or unpositioned for weeks between trade resolutions, entering the market only when specific internal parameters are satisfied. As a result, the trading rhythm resembles that of a selective swing trader operating on daily charts rather than a traditional intraday scalper.
Quality of historical results
The statistical quality of the strategy's closed trades is defined by a high hit rate paired with strong trade symmetry. Out of 45 completed trades across history, 39 resolved in a profit while 6 resulted in losses, establishing an 86.67% historical win rate. The overall profit factor stands at 8.13, indicating that aggregate historical gross gains were more than eight times larger than aggregate historical gross losses. Analyzing payout distributions provides deeper insight into performance stability. The average completed trade generated +14.86%, while the median trade yielded +11.60%. The proximity between average and median outcomes demonstrates that typical trades deliver substantial positive returns, rather than the average being skewed by rare statistical anomalies. The single best trade returned +74.63%, whereas the single worst trade registered a loss of -9.76%. Furthermore, the top three winning trades collectively generated 25.19% of the strategy's aggregate gross profit. This modest concentration percentage confirms that profitability is broadly distributed across the 39 winning trades, reducing structural reliance on isolated outlier events.
Risk, drawdown and losing behavior
Risk metrics across the 3.45-year history indicate controlled downside behavior. The maximum historical drawdown recorded for the strategy is 13.64%. When evaluated alongside the full cumulative history, this drawdown figure demonstrates that equity declines remained relatively modest throughout severe market fluctuations in LDO. Downside exposure is further defined by the strategy's sequence characteristics and loss truncation. The longest historical losing streak was limited to just 2 consecutive trades, compared to a longest winning streak of 12 consecutive trades. The maximum single-trade loss recorded was -9.76%, illustrating that losing exits were constrained before causing compound balance damage. The combination of an 86.67% win rate, capped single-trade losses, and short losing streaks provided historical cushioning against prolonged drawdown equity curves.
Behavior through time and yearly stability
An evaluation of the yearly performance breakdown shows consistent execution across distinct market environments from 2022 through late 2025. In 2022, across 7 completed trades, the strategy recorded a 100% win rate with zero losses, generating a cumulative trade sum of +111.54%. In 2023, trade frequency increased slightly to 10 trades (9 wins, 1 loss), achieving a 90.00% win rate and a cumulative trade sum of +138.31%. During 2024, the strategy experienced its highest annual activity, completing 16 trades with 14 wins and 2 losses. This yielded an 87.50% win rate and a combined trade output of +259.57%. In the partial year of 2025 (up to October 21), 12 trades were completed, yielding 9 wins and 3 losses for a 75.00% win rate and a aggregate trade sum of +159.23%. While win rates experienced slight variation over time—moving from 100% in 2022 down to 75.00% in 2025—annual trade output remained strong throughout each calendar year, indicating consistent adaptability to shifting liquidity environments.
Recent period since 2024-06-01 versus full history
Focusing on the recent observation window beginning June 1, 2024, provides critical insight into current strategy performance. Within this recent period, the strategy completed 23 trades, generating a aggregate trade sum of +371.27%. Remarkably, these 23 recent trades represent over 51% of the total 45 trades executed across the entire 3.45-year history. Comparing this recent window against early historical periods shows that trading activity accelerated substantially in the latter half of the dataset without compromising overall profitability. The strategy maintained active execution, logging nearly half of its total multi-year output after mid-2024. The empirical evidence demonstrates that the strategy's signal conditions remained actively triggered in recent market regimes, offering substantial recent data depth rather than relying solely on early backtest history.
Strengths and limitations
The main structural strength of this strategy lies in its combination of a high win rate (86.67%), an elevated profit factor (8.13), and a controlled maximum historical drawdown (13.64%). Its broad profit distribution—with the top three trades accounting for only 25.19% of gross profits—ensures that historical performance was not dependent on single, unrepeatable market events. Additionally, its patient holding duration (average 160.38 hours) allows trades to capture multi-day trends rather than getting chopped in short-term noise. Conversely, a primary limitation is the low total sample size of completed trades. Over 3.45 years, the strategy executed only 45 total trades, which averages roughly 13 trades per year. While statistical metrics are favorable, low sample sizes carry broader confidence intervals than strategies with hundreds of trade samples. Furthermore, annual win rates decreased from 100% in 2022 to 75.00% in 2025, highlighting that trade-level risk management remains essential as historical win rates naturally adjust over time.
DevioLab analytical conclusion
The analytical evaluation of LDO 215000 +30770.05% 1TRAD-LTL3 reflects a robust swing trading architecture applied to LDO. Ranked 6th for its asset with a DevioLab Score of 76.23, the model balances high historical hit rates with strong loss containment. Its performance profile is defined by long holding periods relative to its 15-minute timeframe, patient spacing between trade entries, and minimal historical drawdown duration. While the cumulative historical return metrics reflect high backtested efficiency, traders evaluating this model must account for the lower trade frequency and smaller sample size inherent in its historical dataset. The strategy represents an example of low-frequency, high-selectivity quantitative design, where performance relies on capturing sustained multi-day directional moves while maintaining strict boundaries on downside risk.
Data scope and methodology
All analytical conclusions presented in this report are derived strictly from backtested historical trade data for strategy 215000 +30770.05% 1TRAD-LTL3 on asset LDO over the period spanning May 9, 2022, to October 21, 2025. Historical performance figures represent mathematical evaluations of closed trades on historical price series and do not account for real-time order execution slippage, exchange commission structures, variable spread costs, or funding fee mechanics. Past backtested performance is inherently non-predictive of future results. Market structure, liquidity conditions, and asset volatility evolve over time, which can materially affect live implementation performance. This document is published strictly for analytical and educational research purposes by DevioLab.com and does not constitute financial advice, investment recommendations, or an offer to trade financial assets.