TSMBUSDT
股票工具 · 通过 Binance 执行TSM · Taiwan Semiconductor Manufacturing Company Limited: Evaluating a High-Win-Rate 15-Minute Macro Strategy
This quantitative analysis evaluates the historical backtest performance of the top-ranked strategy for TSM · Taiwan Semiconductor Manufacturing Company Limited (TSMB 0 +4680.60% 1TRAD-HCQ0). Operating on a 15-minute candle evaluation grid over a 6.94-year historical window from September 2019 to August 2026, the strategy exhibits an extraordinary 93.10% win rate across 29 completed trades, yielding a cumulative backtested return of +4680.60% and a Profit Factor of 8.33. Despite its fine intraday timeframe, the strategy functions as an ultra-patient, long-horizon position model with an average holding duration of 1,914.05 hours (approximately 79.8 days) and a median holding duration of 384 hours (16 days). This study examines the structural mechanics of the strategy, detailing its trade distribution skew—where the top three winning trades generate 54.43% of total gross profits—its symmetrical risk profile featuring a 20.88% maximum drawdown identical to its single worst trade loss, and the heavy concentration of trade closures within the recent trading window post-June 2024.
阅读完整分析
Strategy profile
The strategy designated TSMB 0 +4680.60% 1TRAD-HCQ0 ranks first overall for TSM · Taiwan Semiconductor Manufacturing Company Limited within the DevioLab quantitative repository, achieving a DevioLab score of 81.01. Evaluated over a historical sample spanning 6.94 years from September 16, 2019, to August 23, 2026, the strategy generated a cumulative closed-trade return of +4680.60%, corresponding to an annualized figure of 830.16%. This performance was realized through a highly selective sample of just 29 completed trades. Out of these 29 historical executions, 27 resulted in profitable exits while only 2 resulted in net losses, establishing an exceptional overall win rate of 93.10%. The system records a Profit Factor of 8.33, demonstrating substantial gross profit generation relative to gross losses. While the underlying execution layer operates on a 15-minute price interval grid, the strategy's operational profile differs fundamentally from typical high-frequency intraday trading models. Instead, it leverages intraday data filtering to capture extended structural market moves in the equity market.
Trading rhythm and position duration
Analyzing the temporal parameters reveals a distinct mismatch between execution interval and position holding duration. Although configured on 15-minute chart candles, the system operates with extreme selectivity, averaging just 4.18 completed trades per year and 1.45 trades per active month. Position holding times are exceptionally long: the mean holding duration across all completed trades is 1,914.05 hours (roughly 79.75 days), whereas the median holding duration is 384.00 hours (16.00 days). This wide divergence between mean and median holding times indicates that while a subset of trades exits within a couple of weeks, a significant proportion remains open for multiple months or even quarters. The rhythm of trade exits reflects similar dispersion, with an average spacing between completed trade exits of 73.11 days and a median exit spacing of 23.52 days. The statistical evidence indicates that the strategy uses its 15-minute resolution not to scalp short-term fluctuations, but rather to precise-time entry and exit points for long-term position holdings.
Quality of historical results
The overall profitability profile of the strategy combines an extraordinarily high hit rate with a right-skewed return distribution. The average closed trade yield stands at +17.97%, whereas the median trade yield is +8.97%. This disparity highlights the presence of powerful positive outliers that elevate the mean return significantly above the typical trade outcome. The strategy's best single trade produced an impressive +198.47% return, while the single worst trade closed at -20.88%. Further inspection of gross profit distribution shows that the top three winning trades collectively account for 54.43% of total gross profits. Consequently, while the strategy maintains a remarkably consistent winning record (winning 27 out of 29 trades), more than half of its total monetary gain is concentrated in approximately 10% of its trade executions. The combination of a high win rate (93.10%) and strong Profit Factor (8.33) indicates excellent historical payoff efficiency, though reliance on mega-trend outliers remains a defining structural characteristic.
Risk, drawdown and losing behavior
Risk metrics within the backtest exhibit structural symmetry between individual trade risk and overall peak-to-trough equity decline. The maximum historical drawdown recorded by the strategy is 20.88%, which aligns almost perfectly with the strategy's worst historical single trade loss of -20.88%. Because the strategy experienced a maximum losing streak of only 1 trade (occurring twice across the full historical record, against a maximum winning streak of 11 consecutive trades), equity drawdowns were not driven by compounding strings of consecutive losses. Instead, historical capital contraction was localized to single, isolated trade losses that were immediately followed by long series of winning positions. The controlled drawdown of 20.88% relative to a total cumulative return exceeding +4600% reflects superior capital defense, although individual trade stop-outs, when triggered, can represent substantial single-trade markdowns.
Behavior through time and yearly stability
The strategy's multi-year performance breakdown demonstrates pronounced trade timing clustering. Over the 6.94-year history, completed trades are recorded across four specific calendar years: 2021, 2024, 2025, and 2026. In 2021, the strategy logged a single completed trade, which was a 100% winning exit yielding +198.47%. The strategy recorded no trade completions in 2020, 2022, or 2023, reflecting long inactive phases where either positions remained open across calendar boundaries or market entry conditions were not satisfied. In 2024, the strategy completed 7 trades, all 7 of which were winners (100% win rate), totaling +104.43% in cumulative trade yield. In 2025, trade frequency increased to 11 closed positions, with 10 wins and 1 loss (90.91% win rate), delivering +120.59%. In 2026, 10 trades were completed with 9 wins and 1 loss (90.00% win rate), yielding +97.60%. The yearly performance shows steady annual efficiency during active exit windows, with high win rates consistently maintained above 90% across every active multi-trade year.
Recent period since 2024-06-01 versus full history
An evaluation of the recent trading window beginning June 1, 2024, reveals that the vast majority of all historical trade exits occurred during this recent era. Out of 29 total completed trades in the entire strategy history, 27 closed on or after June 1, 2024. During this recent window, the strategy accumulated a sum of trade returns equal to +295.08%. Comparing this recent subset against the full history shows complete alignment in operational performance: the win rate in the recent window remains exceptionally high (25 wins out of 27 trades, or 92.59%), matching the lifetime win rate of 93.10%. The concentration of 27 out of 29 closed trades in this period indicates that the strategy's historical statistical baseline is heavily weighted by execution conditions observed between mid-2024 and mid-2026.
Strengths and limitations
The principal statistical strength of this strategy is its exceptionally high accuracy and payoff efficiency, evidenced by a 93.10% win rate, an 8.33 Profit Factor, and a top rank for TSM on DevioLab. Its low trade frequency reduces total transaction activity, while long holding periods allow positions to capture macro multi-month trends without overtrading. However, key limitations must be acknowledged. First, the total trade sample is modest at 29 completed executions, which introduces a larger statistical confidence interval than high-sample strategies. Second, profit concentration is elevated, with 54.43% of total gross profit generated by just three trades, meaning that missing a handful of major entries could severely impact realized returns. Third, the long holding durations (averaging ~80 days) require capital commitment across volatile market regimes and require extreme patience from execution systems.
DevioLab analytical conclusion
Achieving a DevioLab score of 81.01 and holding the top rank for Taiwan Semiconductor Manufacturing Company Limited, strategy TSMB 0 +4680.60% 1TRAD-HCQ0 presents a compelling quantitative model focused on structural equity trends. By combining an intraday 15-minute monitoring interval with macro-level holding periods averaging nearly 80 days, the system effectively filters market noise to achieve high historical win rates (93.10%) and an exceptional Profit Factor (8.33). Its maximum drawdown of 20.88% is well-proportioned against its +4680.60% lifetime return. Traders evaluating this model should weigh its robust recent testing window against the low absolute sample size (29 trades) and the requirement for long-term holding capacity.
Data scope and methodology
This analysis is based strictly on simulated historical backtest results for the currency pair asset TSM · Taiwan Semiconductor Manufacturing Company Limited across the history window starting September 16, 2019, and ending August 23, 2026. The strategy evaluates price action on a 15-minute candle timeframe (`15m`). All return statistics, holding durations, win rates, and drawdown figures represent closed trades calculated sequentially without leverage or compounding adjustments outside standard equity backtesting protocols. These statistical figures are derived exclusively from historical backtested data and do not represent live account trading, nor do they guarantee future investment outcomes.