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BTCUSDT

Crypto market · Binance
BTC 215000 +7177.10% 1TRAD-ELF5
42Trades
92.9%Win rate
+11.57%Avg trade
+51.40%Best trade
-5.78%Worst trade
+302.6%Annualized
Strategy analytical profile · d88a53f8d07060d5

BTC · BTC Quantitative Strategy Analysis: Performance Evaluation of BTC 215000 +7177.10% 1TRAD-MNE8

A comprehensive quantitative analysis of the algorithm BTC 215000 +7177.10% 1TRAD-MNE8 trading BTC on the 15-minute chart. The evaluation covers its 92.86% win rate, 5.0 profit factor, 8.80% drawdown, and the statistical limitations of a 42-trade sample.

Analysis as of 14.08.2026. Strategy data is updated separately.
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Strategy profile

The quantitative trading system named BTC 215000 +7177.10% 1TRAD-MNE8 is engineered for spot trading of BTC within the cryptocurrency market. Operating on a 15-minute candle interval (15m), the strategy reacts to short-term price dynamics of Bitcoin. According to the internal scoring methodology of DevioLab, this system achieved a score of 82.59, earning the number 1 rank among all tested strategy variants for this ticker. Over its full backtested history, the strategy registered a cumulative closed-trade return of 7359%, corresponding to an annualized gain of 293.04%. The 15-minute execution timeframe defines the charting resolution rather than trade frequency, as the total number of executed positions remains selective and low.

Trading rhythm and position duration

Across the evaluated dataset ending on August 10, 2026, the strategy completed a total of 42 trades. Metrics regarding average and median holding hours, as well as trade frequency per active month or year, are unrecorded in the dataset. With only 42 closed trades in total, this model cannot be characterized as a scalping or high-frequency trading strategy. Instead, the logic operates with high selectivity, entering positions only when stringent historical criteria are satisfied and remaining inactive during extended market phases.

Quality of historical results

The strategy historical performance exhibits exceptional trade precision. Out of 42 completed trades, 39 were profitable while only 3 resulted in a loss, delivering a win rate of 92.86%. The system generated a profit factor of 5.0, reflecting strong gross profit relative to gross losses. The average gain per trade reached +11.51%, with a median trade return of +9.49%. The single best trade produced a gain of +51.40%. Furthermore, the top three winning trades accounted for 24.57% of total gross profit, indicating that overall performance was built across a steady series of positive trades rather than being dominated by a single outlier.

Risk, drawdown and losing behavior

Risk metrics for this strategy are remarkably constrained given the underlying volatility of the BTC asset. The maximum historical drawdown was kept to 8.80%. The worst individual trade incurred a loss of -5.78%, and only 3 losing trades occurred across the entire backtest sequence. The strategy achieved a maximum winning streak of 26 consecutive trades, compared to a maximum losing streak of just 2 consecutive trades. This tight distribution of losses underscores a disciplined risk management mechanism.

Behavior through time and yearly stability

Detailed yearly breakdown statistics are not available in the source data for this specific model. Consequently, it is not possible to isolate performance metrics across specific market cycles, such as bull trends, prolonged bear phases, or range-bound consolidation periods for Bitcoin. While the aggregate historical metrics demonstrate high efficiency over the complete sample, the absence of annual sub-period data warrants a cautious assessment regarding performance distribution over time.

Strengths and limitations

The primary strengths of this strategy include a high win rate of 92.86%, a profit factor of 5.0, a controlled maximum drawdown of 8.80%, and balanced profit concentration with the top 3 trades contributing 24.57% of gross profit. The principal limitation lies in the compact sample size of 42 completed trades and the lack of recent trade execution since June 2024. A smaller sample inherently increases statistical variance and sensitivity to future market regime shifts.

DevioLab analytical conclusion

Strategy BTC 215000 +7177.10% 1TRAD-MNE8 holds the top rank (rank 1) for BTC on DevioLab with an analytical score of 82.59. Its historical record features outstanding precision, low drawdown, and strong gain per trade (+11.51% average). However, researchers and quantitative analysts must account for the limited sample size of 42 trades and the prolonged inactivity since mid-2024. This evaluation represents retrospective strategy research and does not constitute financial advice.

Data scope and methodology

This study is based on backtested historical trade simulations for spot BTC on a 15-minute timeframe through August 10, 2026. All reported percentage figures refer strictly to simulated past trade performance, do not represent live exchange account trading, and offer no guarantee of future returns.

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