FETUSDT
Crypto market · BinanceQuantitative Strategy Analysis for FET · FET (15m)
A detailed quantitative study of an algorithmic model for FET on the 15-minute timeframe. Based on 361 historical closed trades across 6.14 years, the strategy demonstrates a profit factor of 5.0, a 68.70% win rate, and a peak historical drawdown of 57.86%.
Analysis as of 13.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The algorithmic model FET 215000 +154265651.84% 1TRAD-HVH2 is engineered for trading the FET asset on a 15-minute chart interval. Within the DevioLab quantitative taxonomy, this model ranks number 1 for the FET ticker, holding a DevioLab Score of 50.76. It is designated as a non-core strategy, reflecting a non-standard rule structure. The backtested dataset spans from June 23, 2020, to August 11, 2026, encompassing roughly 6.14 years of historical price action. The start date marks the beginning of the available data history rather than the asset launch date.
Trading rhythm and position duration
Over the full 6.14-year sample, the algorithm executed 361 completed trades, translating to an average trade frequency of 58.84 trades per year. Despite utilizing a 15-minute bar interval, this execution density reflects a highly selective position-taking model rather than high-frequency intraday trading or scalping. The strategy waits for specific conditions before triggering entries. Precise trade duration metrics such as average holding hours are not recorded in this dataset, but the yearly trade count demonstrates a deliberate, non-hyperactive trading pace.
Quality of historical results
The performance metrics highlight strong statistical efficiency, driven by a 68.70% win rate across 248 winning trades and 113 losing trades. The profit factor stands at 5.0, pointing to substantial gross profit relative to gross losses. The average trade yield is 4.93%, with a median trade return of 4.10%. The single best trade captured an 80.27% gain. Total cumulative historical sum profit reached 55285267.44%, corresponding to an annualized baseline performance of 104.49%. Notably, the top 3 winning trades account for only 7.52% of total gross profit, confirming that historical gains were evenly distributed across numerous trades rather than dependent on extreme single-trade outliers.
Risk, drawdown and losing behavior
While returns are strong, the system exhibits significant historical equity volatility. The maximum peak-to-trough drawdown reached 57.86%. The single worst trade recorded a loss of -43.98%, showing that individual positions can experience substantial adverse excursion. On a streak basis, the model achieved a longest winning streak of 19 consecutive profitable trades, whereas the longest losing streak was contained to 5 consecutive losses. This indicates strong momentum capture during favorable regimes paired with moderate consecutive loss clustering.
Behavior through time and yearly stability
Across the 6.14-year evaluation period, the system maintained a persistent statistical edge. Specific annual breakdown tables are not available in this dataset, but the aggregate statistics reflect durability across multiple market cycles. An average of 58.84 trades per year provides a solid baseline sample to judge signal robustness across different volatility regimes.
Strengths and limitations
Key strengths include an exceptional profit factor of 5.0, a high win rate of 68.70%, a extended 19-trade winning streak, and excellent profit distribution where the top 3 winners comprise just 7.52% of total profits. Limitations include a severe maximum drawdown of 57.86%, a worst trade loss of -43.98%, and recent prolonged signal inactivity since June 2024.
DevioLab analytical conclusion
Holding the rank 1 spot for FET with a DevioLab Score of 50.76, this strategy represents a high-reward quantitative approach with pronounced historical drawdowns. The model offers high win consistency and robust trade distribution, making it an insightful study in selective algorithmic execution, provided traders are prepared for significant equity swings and extended flat periods.
Data scope and methodology
All figures presented in this report are derived from simulated backtests of historical closed trades on the FET asset between June 23, 2020, and August 11, 2026. Backtest percentages reflect theoretical closed trade outputs and do not represent actual live brokerage returns or guarantee future performance. Testing was conducted without leverage using fixed algorithmic parameters.