Loading US stock market status…
➜
HOW TO START
Complete the full system setup in just a few minutes.
Open Quick Start Guide →
Public catalog · DEVIOLAB

STRATEGY CATALOG

Explore algorithmic strategies, compare performance and open the complete history of every model.
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.
2 · Ticker
⌕
FILTERS
Every selected condition works together
Selected strategy overview

GALAUSDT

Crypto market · Binance
GALA 215000 +142948.11% 1TRAD-XCA3
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.
48Trades
93.8%Win rate
—Avg trade
—Best trade
—Worst trade
+1,196.2%Annualized
Strategy analytical profile · 1a1a696e00011e12

Trading Strategy Analysis for GALA · GALA on 15m Timeframe Yielding +142948.11%

In-depth quantitative evaluation of the GALA 215000 +142948.11% 1TRAD-XCA3 algorithmic strategy. Achieving a DevioLab score of 87.27, this model ranks first for the asset, backed by an 8.33 profit factor and a 93.75% win rate.

Analysis as of 12.08.2026. Strategy data is updated separately.
Read full analysis

Strategy profile

The algorithm designated as GALA 215000 +142948.11% 1TRAD-XCA3 is configured for spot crypto markets, trading GALA on a 15-minute timeframe. Within the DevioLab analytical framework, this model holds core strategy status and ranks first among all evaluated setups for this ticker. It earned a DevioLab score of 87.27 out of 100, reflecting remarkable historical trade precision and risk management across a 4.91-year dataset.

Trading rhythm and position duration

This trading strategy exhibits a highly selective approach to market entry. Over the entire backtest dataset starting in September 2021, it recorded only 48 completed trades, translating to an average trading frequency of 9.77 trades per year. Specific duration figures such as average and median holding hours or days between exits are not recorded in the dataset. Due to the extremely low transaction count, this setup cannot be classified as high-frequency or scalping, operating instead as a low-frequency, high-selectivity model.

Quality of historical results

Historical performance shows an all-time cumulative return of 142948.11% across 4.91 years, which corresponds to an annualized figure of 1196.23%. The stand-out metric is its 93.75% win rate, with 45 out of 48 trades closing in profit. The average trade gained 17.74%, with a median trade return of 14.83%. The best trade achieved an 89.47% gain, while the top three winning trades combined accounted for 23.73% of gross profit. The overall profit factor stands at an impressive 8.33.

Risk, drawdown and losing behavior

Throughout the sample period, the algorithm suffered only 3 losing trades out of 48 attempts. The worst trade recorded a loss of -10.88%, which also defined the maximum peak-to-trough drawdown of 10.88%. The longest losing streak was limited to 1 trade, whereas the longest winning streak reached 16 consecutive profitable positions. This asymmetrical distribution highlights strong capital preservation during adverse price action.

Behavior through time and yearly stability

The historical record spans from September 13, 2021, to August 11, 2026. While a detailed breakdown by individual years is unavailable in the dataset, the consistent low activity rate of 9.77 trades per year indicates that the system waits for specific market conditions rather than engaging in routine market noise. It triggers only during distinct momentum phases in GALA.

Strengths and limitations

Key strengths include an exceptional 93.75% win rate, a tightly bounded maximum drawdown of 10.88%, a profit factor of 8.33, and well-distributed gains where the top 3 winners represent only 23.73% of gross profit. Primary limitations include a small total sample size of 48 trades over nearly 5 years and complete inactivity in the recent period since mid-2024, requiring traders to consider whether market regimes have shifted.

DevioLab analytical conclusion

The strategy stands out as a top-tier quantitative model for GALA in historical simulations, holding the top rank on DevioLab with a score of 87.27. While its historical return profile and drawdown protection are highly favorable, prospective observers should remain aware of the modest sample size and long dormant intervals inherent to its selective logic.

Data scope and methodology

All calculations are derived from historical simulated closed trades on the spot market for GALA on a 15m timeframe between September 13, 2021, and August 11, 2026. Performance metrics describe simulated past results, do not reflect live exchange account balances, and provide no guarantee of future returns.

Full strategy analysis