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Each algorithmic strategy corresponds to a real trading agent (Trading Bot) created by the DevioLab team from historical-data testing. It can be used for automated trading through supported exchange APIs — Binance, OKX, Bybit, Gate.io, KuCoin and others as they are enabled — or as a Signal Bot with Telegram and email notifications.
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Selected strategy overview

CRCL · Circle Internet Group Inc.

Stock Universe · global stock market
USD · NYSE · XNYS · United States
CRCL 0 +825.98% 1TRAD-MGA0
Recommended by DevioLab · Core 2 iMore aggressive DevioLab recommendation: accepts higher risk and deeper drawdowns in exchange for potentially higher returns.
14Trades
92.9%Win rate
+18.96%Avg trade
+74.80%Best trade
-0.79%Worst trade
+826.0%Annualized
Strategy analytical profile · 17602d61404d4966

Quantitative Strategy Analysis: CRCL · Circle Internet Group, Inc. (15m)

An analytical review of the CRCLB 0 +825.98% 1TRAD-MGA0 algorithmic model for Circle Internet Group, Inc. stock on the 15-minute timeframe. The evaluation covers 14 completed trades over a 1.21-year period, generating an 825.98% overall return with a maximum peak-to-trough drawdown of 0.79%.

Analysis as of 21.08.2026. Strategy data is updated separately.
Read full analysis

Strategy profile

The algorithmic strategy CRCLB 0 +825.98% 1TRAD-MGA0 is designed to trade Circle Internet Group, Inc. (CRCL) stock on a 15-minute chart within the equity market. According to the internal quantitative evaluation, the strategy earned a DevioLab Score of 81.61, ranking first among all evaluated historical configurations for this ticker. The model focuses on identifying selective momentum phases while enforcing extremely tight loss control.

Trading rhythm and position duration

Over the analyzed history span of 1.21 years, the system executed a total of 14 completed trades, translating to roughly 11.61 trades per year. Although exact holding hours and exit intervals are unrecorded in this dataset, the low trade count indicates a highly selective strategy. This system cannot be classified as scalping due to its low trading frequency and patient waiting for specific market setups.

Quality of historical results

The cumulative backtested return across the dataset reached +825.98% with a profit factor of 4.38. The signal accuracy was notably high, with 13 winning trades out of 14, yielding a win rate of 92.86%. The average gain per trade stood at 18.96%, while the median trade return was 11.11%. The best single position delivered a gain of 74.80%. Notably, the top 3 winning trades generated 58.43% of total gross profits, reflecting a dependency on catching major market moves.

Risk, drawdown and losing behavior

Risk containment metrics for this strategy are exceptionally rigid. Only one losing trade occurred throughout the entire sample, incurring a loss of -0.79%. Consequently, the worst single trade matches the maximum overall historical drawdown of 0.79%. The strategy achieved a maximum winning streak of 8 trades, while its maximum losing streak remained capped at 1. The asymmetric return profile highlights disciplined cut-offs on adverse setups.

Behavior through time and yearly stability

The historical record spans from June 5, 2025 to August 19, 2026. Because of the brief timeframe and low absolute sample size, individual calendar year breakdowns are not present in this dataset. All 14 trades occurred within this 1.21-year window. Due to the limited sample size, the statistical figures should be evaluated with appropriate caution regarding long-term persistence.

Recent period since 2024-06-01 versus full history

In the tracking window since June 1, 2024, the trade count is listed as 0 because the underlying dataset for this strategy begins on June 5, 2025. Therefore, all strategy activity occurred exclusively within the post-June 2025 timeline, preventing a direct comparative baseline against earlier 2024 periods.

Strengths and limitations

Key strengths of this trading model include its high win rate of 92.86%, a profit factor of 4.38, and a tiny maximum drawdown of 0.79%. Conversely, the primary limitation is the small sample size of just 14 trades. Furthermore, with 58.43% of gross profit concentrated in the top 3 trades, overall performance relies heavily on capturing a few large expansion phases.

DevioLab analytical conclusion

The CRCLB 0 +825.98% 1TRAD-MGA0 strategy demonstrates a strong historical statistical profile on Circle Internet Group, Inc., securing the top rank for this ticker with a score of 81.61. The results illustrate how infrequent entries combined with strict downside limits can produce substantial cumulative growth. However, market participants must consider the statistical constraints of a small sample size and treat these findings strictly as historical research.

Data scope and methodology

All figures presented in this study are derived from simulated historical closed trades on 15-minute price bars for CRCL between June 5, 2025 and August 19, 2026. These historical backtest results do not guarantee future performance and do not account for live market slippage, spread variations, or individual broker fees.

Full strategy analysis