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Our recommendation: for your first setup, use Core 1 — DevioLab’s primary, more protected selection. Core 2 is intended for users who knowingly accept higher risk and deeper drawdowns.
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What are Core 1 and Core 2?
DevioLab analyzes crypto and stock-market strategies and builds ready-made selections so you do not have to manually review hundreds of options.
★ Core 1
A DevioLab-selected collection of crypto and stock strategies recommended as the primary, more balanced and protected starting choice, with emphasis on risk and drawdown control.
◆ Core 2
A separate, more aggressive DevioLab selection for users who knowingly accept higher risk and deeper drawdowns in exchange for potentially higher returns.
Selected strategy overview

LTCUSDT

Crypto market · Binance
LTC 215000 +57142.11% 1TRAD-HDM4
Recommended by DevioLab · Core 1 iPrimary DevioLab recommendation: a more protected, smoother and more stable profile focused on risk and drawdown control.
Recommended by DevioLab · Core 2 iMore aggressive DevioLab recommendation: accepts higher risk and deeper drawdowns in exchange for potentially higher returns.
44Trades
90.9%Win rate
+15.30%Avg trade
+67.77%Best trade
-13.63%Worst trade
+606.8%Annualized
Strategy analytical profile · 2107357969ab4912

LTC · LTC Quantitative Strategy Analysis: Rank 1 Model Review

An in-depth evaluation of the top-ranked algorithmic trading model for LTC on the 15-minute timeframe. The strategy generated a 90.91% win rate, a profit factor of 5.0, and a maximum drawdown of 13.63% across 44 completed trades.

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Strategy profile

The core algorithmic model LTC 215000 +57142.11% 1TRAD-HDM4 is designed for LTC trading on a 15-minute chart. Evaluating performance metrics yields a DevioLab Score of 79.58, securing the number 1 rank among all evaluated strategies for this ticker. Classified as a protected core strategy, it focuses on spot-style market execution without leverage.

Trading rhythm and position duration

The overall evaluation sample consists of 44 completed trades. Specific metrics regarding average trade duration and inter-trade spacing are unavailable in this dataset release. However, the low trade count highlights a highly selective signaling mechanism that avoids overtrading and limits execution overhead.

Quality of historical results

Across the evaluated history, the model delivered 40 winning trades against 4 losing trades, yielding a 90.91% win rate. Total cumulative return reached 31039.31% with a profit factor of 5.0. The average gain per trade stood at 15.30%, complemented by a median return of 10.92%. The single best trade achieved 67.77%. Profit concentration remains balanced, with the top 3 winning trades generating 24.72% of gross profits.

Risk, drawdown and losing behavior

The maximum historical drawdown was contained at 13.63%, which exactly equals the single worst losing trade (-13.63%). Adverse streaks were exceptionally short, with the maximum consecutive loss streak limited to just 1 trade. Conversely, the longest winning streak spanned 14 consecutive successful trades.

Behavior through time and yearly stability

The model's annualized performance calculation shows 606.77%. While granular yearly breakdown tables are omitted from this data slice, the long-term historical record highlights sustained mathematical expectancy over time.

Strengths and limitations

Primary strengths include an extraordinary 90.91% win rate, a 5.0 profit factor, tight drawdown control at 13.63%, and healthy profit distribution where top winners account for 24.72% of gross gains. Key limitations stem from the modest sample size of 44 trades and the absence of fresh execution signals since mid-2024.

DevioLab analytical conclusion

Holding the number 1 rank for LTC with a DevioLab Score of 79.58, this strategy displays impressive trade selection quality and robust downside containment. Quantitative researchers should evaluate these results alongside the small sample size and signal selectivity.

Data scope and methodology

Percentages describe historical simulated closed trades. They are not an exact Binance account return and do not guarantee future performance. The data window concludes on 2026-08-10.

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