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

TRADING STRATEGIES & BOTS

Choose a trading strategy and activate a bot that will trade automatically by its rules.
A strategy defines the buying and selling rules. A trading bot executes those rules through the API of a supported exchange. You can also use the selected strategy as a signal bot with Telegram and email notifications.
FILTERS
Choose Core 1 for a balanced start, select an exchange for trading and find the ticker you need. Filters work together.
Trading exchange?Shows instruments available for SPOT trading against USDT according to the latest normalization. Click the selected exchange again to show all exchanges.
Selected strategy overview

DOGEUSDT

Crypto market · Binance
DOGE 215000 +7885208.47% 1TRAD-YNP9
Archived strategy
44Trades
93.2%Win rate
+47.56%Avg trade
+1,012.80%Best trade
-14.13%Worst trade
+1,445.4%Annualized
Strategy analytical profile · 04adb1fe92c70520

Quantitative Analysis of 15-Minute DOGE · DOGE Trading Strategy

A detailed quantitative review of a 15-minute DOGE algorithm scoring a DevioLab Score of 66.09, boasting a 93.18% win rate and cumulative historical gain of 7885208.47% alongside a 14.13% maximum drawdown.

Analysis as of 14.08.2026. Strategy data is updated separately.
Read full analysis

Strategy profile

This algorithmic strategy is built for the DOGE crypto asset on a 15-minute execution chart. Within DevioLab's performance tracking for this specific ticker, the model ranks #3 with a DevioLab Score of 66.09. Across the full backtested dataset, it generated a cumulative profit of 7885208.47% with an annualized return figure of 1445.39%. The total trade sample consists of 44 completed trades, indicating a compact dataset where individual trade outcomes heavily influence summary metrics.

Trading rhythm and position duration

Although operating on a 15-minute timeframe, detailed holding duration metrics such as average and median holding hours or average days between exits are not recorded in the dataset. Given the total trade count of 44 trades across the entire history, the execution frequency is selective rather than high-frequency. This strategy should not be described as scalping due to the sparse trade frequency and unquantified holding durations.

Quality of historical results

The system demonstrates exceptional directional accuracy, securing 41 winning trades out of 44 total executions, which translates to a 93.18% win rate. The profit factor stands at 3.13, highlighting strong gross gains over losses. The average trade gain is 47.56%, while the median trade gain is 19.52%, anchored by a top winning trade of 1012.80%. Profit concentration is notable, as the top 3 winning trades account for 55.77% of total gross profits.

Risk, drawdown and losing behavior

Risk parameters remain tightly bounded throughout the backtest, with only 3 losing trades recorded. The longest losing streak was limited to 1 trade, and the worst individual trade loss reached -14.13%. Maximum peak-to-trough drawdown was also capped at 14.13%, mirroring the maximum trade loss. On the upside, the system achieved a longest winning streak of 19 consecutive trades.

Behavior through time and yearly stability

Yearly breakdown metrics are absent from the provided historical dataset, preventing a year-by-year distribution analysis across differing market cycles. The dataset history endpoint is recorded as 2026-08-10. Without yearly breakdown data, evaluating multi-year consistency across varying volatility regimes requires added caution.

Strengths and limitations

Key strengths include an exceptional win rate of 93.18%, a robust profit factor of 3.13, and a drawdown limited to 14.13%. Primary limitations are the small sample size of 44 trades, high dependence on the top 3 trades for 55.77% of gross profit, and zero trade activity recorded in the recent period since mid-2024.

DevioLab analytical conclusion

DevioLab's ranking of #3 for DOGE and a score of 66.09 reflect the algorithm's high win rate and controlled drawdown profile. However, the limited trade sample size and recent pause in trading signals mean potential operators should monitor live market condition alignment carefully.

Data scope and methodology

All figures presented are derived from historical backtested spot trading data for DOGE ending 2026-08-10. Performance results represent historical simulated closed trades and do not constitute actual live trading results, guaranteed future returns, or personal investment advice.

Full strategy analysis