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Crypto market · BinanceDIA · DIA Quantitative Performance Analysis: Evaluating the DIA 215000 +491348.61% 1TRAD-ZXE5 Strategy
This analytical study examines the historical performance profile of the DIA 215000 +491348.61% 1TRAD-ZXE5 trading strategy applied to DIA on a 15-minute chart resolution. Spanning approximately 5.96 years of backtested data from September 2020 to August 2026, the strategy generated 265 completed trades, yielding a win rate of 67.92% and a profit factor of 3.13. Despite achieving a cumulative historical performance sum of +503,218.34%, the system exhibits notable risk characteristics, including a maximum historical equity drawdown of 73.28% and a worst single trade loss of -53.89%. Crucially, the strategy demonstrates balanced gross profit distribution, with its top three winning trades contributing just 7.11% of aggregate gross profits. However, zero trade completions have been recorded since June 1, 2024, presenting significant empirical limitations regarding recent market behavior. Rated with a DevioLab score of 40.92, ranking third for this asset, this strategy presents a complex combination of high win frequency, broad profit distribution, severe equity volatility, and recent historical inactivity.
Analysis as of 22.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The quantitative trading system designated as DIA 215000 +491348.61% 1TRAD-ZXE5 is evaluated on a 15-minute timeframe within the cryptocurrency asset class for DIA. Over a backtested historical observation span of approximately 5.96 years starting on September 4, 2020, and running through August 21, 2026, the strategy completed a total of 265 trades. Within the DevioLab analytical framework, the strategy holds a overall rating score of 40.92, placing it at rank 3 among evaluated strategies for this specific ticker. Over the entire simulated history, the strategy produced 180 winning positions and 85 losing positions, achieving an aggregate backtested profit sum of +503,218.34% and an annualized performance metric of 4.07%. The strategy's primary statistical hallmark lies in its high win rate paired with a profit factor of 3.13. However, these upper-tier headline profitability numbers are counterbalanced by significant downside exposure, necessitating a deeper examination of how individual trade distribution and equity drawdowns interact throughout the strategy's operational timeline.
Trading rhythm and position duration
Although the underlying data resolution is configured to 15-minute candlestick intervals, the strategy operates at a measured pace rather than high execution frequency. Over the 5.96-year historical dataset, the system generated 265 total completed trades, translating to an average trade frequency of 44.45 trades per year. This corresponds to approximately 3.7 completed positions per calendar month, indicating a highly selective signal mechanism that filters out the vast majority of intra-day noise on the 15-minute chart. Specific holding period statistics, such as average holding hours, median holding hours, and days between exits, were not recorded in the source statistical dataset. Nevertheless, dividing the total elapsed timeframe by the trade count reveals an average duration of roughly 8.2 days between completed position exits. This trade pacing confirms that despite monitoring short-term price action, the strategy does not engage in rapid intraday scalping; instead, it holds positions across multi-day spans to capture extended directional moves.
Quality of historical results
An evaluation of trade-level returns demonstrates strong statistical stability in profit generation. The strategy achieved a win rate of 67.92%, winning more than two out of every three trades executed. The mathematical profit factor of 3.13 confirms that gross profits exceeded gross losses by a factor of more than three. Analyzing the distribution of returns shows an average trade expectation of +4.57%, while the median trade return stands higher at +5.96%. In quantitative evaluation, a median trade return that exceeds the mean trade return is a positive statistical indicator, showing that performance is not artificially inflated by a tiny handful of extreme right-tail outliers. This robust structural profile is reinforced by the profit concentration metric: the strategy's top three winning trades collectively generated only 7.11% of total gross historical profit. This exceptionally low profit concentration demonstrates that historical profitability was broadly distributed across the 180 winning trades rather than dependent on lucky single-event spikes. The strategy's single best trade produced a return of +54.78%, while its single worst trade suffered a loss of -53.89%, illustrating wide boundary bounds between extreme single-trade outcomes.
Risk, drawdown and losing behavior
Despite favorable win rates and profit factors, the strategy's risk profile contains severe downside volatility. The maximum drawdown recorded across the backtested history reached 73.28%. A peak-to-trough decline of this magnitude represents extreme capital distress and reveals that historical equity curves were subject to deep structural contractions. This drawdown severity is directly related to the magnitude of losing trades, exemplified by the worst single trade loss of -53.89%. While the strategy experienced a maximum consecutive losing streak of 5 trades, compared to a maximum winning streak of 12 trades, the severe loss magnitude indicates that individual drawdowns were driven by heavy trade losses rather than an overwhelming sequence of consecutive failures. The coexistense of a 67.92% win rate and a 73.28% maximum drawdown highlights a key structural tension: high trade accuracy does not protect an account from deep equity drawdowns if losing trades are permitted to expand into severe percentage losses before position liquidation.
Behavior through time and yearly stability
Evaluating continuous strategy behavior across distinct time horizons requires analyzing multi-year performance consistency. In this strategy dataset, granular annual breakdown metrics per individual calendar year are omitted from the statistical record. Consequently, year-over-year trade distribution, annual win rate stability, and annual trade frequency changes cannot be directly measured on a calendar-by-calendar basis. The primary multi-year baseline rests on the full-history metrics spanning 5.96 years, showing an annualized baseline return metric of 4.07% alongside 265 total trades. Given the absence of detailed yearly sub-period breakdowns, analysts must interpret temporal stability through aggregate metrics. The broad distribution of gross profits across many trades suggests consistent contribution over time, but the absence of explicitly reported yearly performance blocks prevents verifying whether profit generation was uniformly smooth or concentrated within specific historical volatility regimes.
Strengths and limitations
The DIA 215000 +491348.61% 1TRAD-ZXE5 strategy exhibits several clear analytical strengths. Principal among them is a strong win rate of 67.92% paired with a robust profit factor of 3.13. The strategy displays outstanding profit dispersion, evidenced by a median trade return (+5.96%) exceeding its mean (+4.57%), and an exceptionally low profit concentration where the top three trades represent only 7.11% of gross earnings. These elements indicate a broad-based, non-outlier-dependent win distribution. Conversely, the strategy suffers from severe limitations. The 73.28% maximum drawdown and a worst single trade loss of -53.89% point to extreme downside exposure during adverse regimes. Furthermore, the complete lack of trading activity since June 1, 2024 (0 trades), creates a major empirical gap, leaving the strategy untested in recent market cycles. Finally, the total sample size of 265 trades over nearly six years represents a relatively low trade count, limiting statistical confidence.
DevioLab analytical conclusion
The DevioLab score of 40.92 and rank 3 for DIA capture the mathematical balance between this strategy's high win efficiency and its elevated downside risk. On paper, the cumulative historical profit sum (+503,218.34%) and solid payoff structure (3.13 profit factor) present an impressive historical track record. However, quantitative evaluation weights risk-adjusted factors heavily. The severe 73.28% peak-to-trough drawdown demonstrates that holding this strategy historically required enduring major capital declines. When combined with the complete cessation of completed trades since June 2024, the strategy's score reflects necessary analytical conservatism. While the trade profile exhibits excellent gain distribution across its active historical sample, prospective researchers must weigh these positive payoff metrics against the severe drawdown volatility and the lack of recent operational evidence.
Data scope and methodology
All figures, metrics, and analytical conclusions presented in this report are derived exclusively from historical backtested simulation data covering the period from September 4, 2020, to August 21, 2026, for DIA on a 15-minute chart interval. Performance metrics describe closed, historical simulated trades and do not represent live trading performance, actual execution quality, or real-time account balances on any exchange. The analysis assumes hypothetical execution and does not account for unstated transaction fees, order book slippage, funding costs, or market impact. Missing statistical parameters, including holding hours and recent trade data, reflect gaps in the source dataset rather than assumptions made during analysis. This research paper is provided solely for educational and quantitative analysis purposes and does not constitute financial, legal, or investment advice.