Live Backtest Results
This backtest analyzes the performance of the MACD(12,26,9) Crossover strategy on ETH/USDT over the Weekly timeframe using historical market data. The results provide insight into how the strategy would have performed under real market conditions, including profitability, risk exposure, and consistency.
ROI
1022.57%
Win Rate
42.9%
Max DD
60.3%
Sharpe
0.78
Profit Factor
2.32
Total Trades
14
Backtest insights
The MACD(12,26,9) Crossover strategy generated a total return of 1022.57%, indicating very strong profitability. The maximum drawdown of 60.3% suggests high volatility and significant risk exposure. With a win rate of 42.9% across 14 trades, the strategy demonstrates lower consistency.
Performance may vary depending on market conditions. During trending periods, the strategy may behave differently compared to ranging markets, impacting both returns and drawdowns.
ETHUSDT 1 week. Enter when MACD(12,26,9) crosses above its signal line. Exit when MACD crosses below its signal line. Backtest the last 10 years.
Strengths
Combines trend-following with momentum confirmation for higher-quality signals
Works across multiple timeframes, from scalping to long-term investing
The histogram provides early warning of weakening momentum before a crossover occurs
Limitations
As a lagging indicator, MACD crossovers may occur after a significant portion of the move has passed
Prone to whipsaws in ranging and choppy market conditions
Requires additional confirmation from price action for optimal entry timing
Why Use CoinQuant Instead of Manual Trading or Other Platforms
Choosing the right way to test and execute trading strategies is critical. Below is a comparison between CoinQuant, manual trading, and other platforms to highlight key differences in speed, accuracy, and usability.
CoinQuant is designed specifically for traders who want to validate strategies quickly and reliably without coding. Unlike manual trading or traditional platforms, it allows you to test multiple scenarios, analyze performance instantly, and iterate faster using real data.
Frequently asked questions
How does the MACD(12,26,9) Crossover strategy perform on ETH/USDT in the Weekly timeframe?
The performance of the MACD(12,26,9) Crossover strategy on ETH/USDT in the Weekly timeframe depends on market conditions. Based on the backtest results above, it achieved a return of 1022.57% with a maximum drawdown of 60.3%. Results may vary depending on volatility and overall market trends.
Is the MACD(12,26,9) Crossover strategy reliable for trading ETH/USDT?
The MACD(12,26,9) Crossover strategy can be effective when used in the right conditions. For ETH/USDT, it typically performs well in trending markets but may underperform during highly volatile conditions. Backtesting helps evaluate its reliability before applying it in live trading.
Why is backtesting important for trading strategies?
Backtesting allows traders to evaluate how a strategy would have performed using historical data. It helps identify strengths, weaknesses, and risk levels before applying the strategy in real markets, reducing the likelihood of unexpected losses.
How can I test the MACD(12,26,9) Crossover strategy on CoinQuant?
You can use CoinQuant to build and backtest the MACD(12,26,9) Crossover strategy without coding. Simply type the prompt shown below into the CoinQuant chat box and the platform will parse your natural language instruction, generate the strategy logic, and run the full backtest automatically.
What are the best settings for the MACD(12,26,9) Crossover strategy on the Weekly timeframe?
The best settings for the MACD(12,26,9) Crossover strategy depend on the asset and timeframe. The standard MACD(12,26,9) settings work well for most markets, but traders sometimes adjust to MACD(8,17,9) for faster signals or MACD(21,50,9) for slower, higher-conviction signals. Using a backtesting platform like CoinQuant allows you to test different configurations and identify what works best.
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