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Crypto market · BinanceCFX · CFX Quantitative Strategy Analysis: 15-Minute Model Performance Review
Quantitative backtest analysis of the CFX trading strategy on the 15-minute timeframe, evaluating its 81.54% win rate, 44,736.80% overall historical return, and risk parameters over 5.38 years of crypto market data.
Analysis as of 13.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The strategy named CFX 215000 +44736.80% 1TRAD-PKI6 is an algorithmic trading model evaluated on the crypto asset CFX using a 15-minute chart interval. Based on standardized historical quantitative metrics, DevioLab assigns this model a score of 49.43, ranking it 4th among evaluated strategies for this specific asset. The evaluation dataset spans from March 29, 2021, to August 13, 2026, representing approximately 5.38 years of historical backtest data. All performance numbers derive from simulated spot-market execution without leverage.
Trading rhythm and position duration
Despite running on a 15-minute timeframe, the strategy operates with high selectivity. Over the entire 5.38-year history, it completed only 65 trades, which translates to an average frequency of 12.09 trades per year. Because of this low execution rate, the strategy cannot be categorized as high-frequency or scalping. Exact metrics for average and median trade holding duration are not available in the dataset, but the trade count reflects a patient entry mechanism that filters out most intraday market noise.
Quality of historical results
Across the full backtested history, the strategy accumulated a total closed-trade return of 44,736.80%, translating to an annualized return of 394.36%. Its standout historical feature is a win rate of 81.54%, with 53 winning trades against 12 losing trades. The average trade gain was 11.25%, with a median trade return of 10.54% and a best single trade reaching 63.24%. The strategy achieved a profit factor of 1.25. The top 3 winning trades generated 18.94% of gross profit, indicating that historical gains were distributed across multiple successful setups rather than heavily concentrated in a few lucky trades.
Risk, drawdown and losing behavior
The historical maximum drawdown reached 43.21%. The single worst trade resulted in a loss of -39.25%. Although winning trades occurred far more frequently than losing ones, the modest overall profit factor of 1.25 illustrates that losses were relatively severe when they occurred. The longest winning streak reached 13 consecutive trades, whereas the longest losing streak was limited to 3 trades. The strategy demonstrates strong win consistency, counterbalanced by tail risk on bad exits.
Behavior through time and yearly stability
With a total sample of 65 completed trades across 5.38 years, the statistical sample size is relatively compact. Detailed annual performance breakdowns are not provided in the dataset. Because the trade count is small, performance evaluation across shorter market sub-periods carries higher statistical uncertainty, as individual trades hold significant weight in overall performance metrics.
Strengths and limitations
Key strengths include an exceptionally high win rate of 81.54%, substantial cumulative backtest profit (+44,736.80%), balanced profit distribution (top 3 winners account for 18.94% of gross gains), and minimal transaction overhead due to low trading frequency (12.09 trades/year). Primary limitations include a modest profit factor of 1.25, a deep worst-case loss (-39.25%), a maximum drawdown of 43.21%, zero trade execution since June 2024, and a small total sample size of 65 trades.
DevioLab analytical conclusion
Holding a DevioLab score of 49.43 and ranking 4th for CFX, this quantitative model offers a high historical win rate and impressive total simulated gains. However, its modest profit factor, heavy individual trade drawdown potential, and extended period of recent dormancy require careful risk consideration. Past backtested performance represents historical simulation and does not guarantee future results.
Data scope and methodology
This analysis is based on simulated closed spot trades for CFX from March 29, 2021, to August 13, 2026, on the 15-minute timeframe. Figures reflect model output metrics rather than actual brokerage account statements and do not constitute financial or investment advice.