Live Backtest Results
This backtest analyzes the performance of a Double Exponential Moving Average crossover strategy on BTC/USDT over the 12 hour timeframe. The Double Exponential Moving Average is designed to reduce moving-average lag, making it more responsive than a simple moving average while preserving a rule-based trend-following structure. This page uses the same tested logic throughout: enter when price crosses above the 10-period DEMA and exit when price crosses below it.
ROI
618.0%
Win Rate
35.5%
Max DD
75.73%
Sharpe
0.72
Profit Factor
1.11
Total Trades
771
Backtest insights
The DEMA strategy generated a total return of 618.0% over the 12 hour timeframe. With a maximum drawdown of 75.73% and a win rate of 35.5% across 771 trades, the result shows how a faster moving-average crossover reacted to BTC/USDT trend changes during the tested window. Because the same 10-period DEMA is used for both entry and exit, the test offers a clean read on responsiveness, whipsaw risk, and trend persistence.
Performance may vary depending on market conditions. During trending periods, the strategy may behave differently compared to ranging markets, impacting both returns and drawdowns.
How the BTC DEMA Strategy Works
What It Is
The Double Exponential Moving Average is a trend-following indicator designed to respond faster than a traditional moving average by reducing lag. In this BTC DEMA strategy, the rule is intentionally simple: the strategy goes long when BTC/USDT closes above the 10-period DEMA on the 12 hour timeframe and exits when price closes back below that same line.
How Signals Are Generated
A long entry triggers when the close price crosses above the 10-period Double Exponential Moving Average on the 12 hour timeframe. The position exits when the close price crosses below the same 10-period DEMA. This keeps the strategy fully rule-based and makes each signal easy to reproduce in CoinQuant.
When It Works Best
This strategy performs best during sustained directional phases, where price crosses above the 10-period Double Exponential Moving Average and remains supported by the faster trend line. The 12 hour timeframe captures a specific market rhythm where those trend transitions either develop into sustained follow-through or fade into whipsaw.
When It Performs Poorly
The strategy struggles in sideways markets where BTC/USDT repeatedly crosses above and below the 10-period Double Exponential Moving Average without forming a durable trend. These conditions can lead to rapid entries, exits, and cumulative small losses.
Strengths
Faster response than many slower moving averages
Simple entry and exit rules that are easy to audit
Useful for testing whether trend-following behavior changes by timeframe
Limitations
Sensitive to sideways markets where price repeatedly crosses the DEMA line
A fast moving average can react too quickly to short-lived noise
Fixed 10-period settings may not be optimal for every market regime
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 DEMA strategy perform on BTC/USDT in the 12 hour timeframe?
In this backtest the DEMA strategy on the 12 hour timeframe generated a return of 618.0% with a maximum drawdown of 75.73% and a win rate of 35.5% across 771 trades. These results are based on historical backtest data and actual performance may vary.
What is the DEMA indicator?
The Double Exponential Moving Average is a moving-average indicator designed to reduce lag and respond faster to price changes. It is commonly used to identify trend direction and crossover signals.
Why is backtesting important for trading strategies?
Backtesting evaluates how a strategy would have performed on historical data before risking real capital. It reveals metrics like ROI, drawdown, and win rate that show whether a strategy has a genuine edge. Without backtesting, traders are flying blind.
How can I test the DEMA strategy on CoinQuant?
Describe the strategy in natural language, select BTC/USDT and the 12 hour timeframe, and CoinQuant generates a full backtest with performance metrics, no coding required.
What are the best settings for the DEMA strategy on the 12 hour timeframe?
Optimal settings depend on the DEMA length, timeframe, market regime, and trading objective. The default tested here is a 10-period Double Exponential Moving Average. A shorter length reacts faster but may whipsaw more, while a longer length reacts slower and may miss early trend changes. CoinQuant lets you test multiple parameter combinations to find the best fit for the 12 hour timeframe.
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