Live Backtest Results
This backtest analyzes the BTC Dragonfly Doji strategy over the 3 day timeframe. The tested logic is consistent across the page: A long entry triggers when a Dragonfly Doji pattern is detected on the selected timeframe. The position exits when a Bearish Engulfing pattern is detected, giving each Doji-family entry a consistent bearish reversal exit that CoinQuant can compile.
ROI
0.0%
Win Rate
0.0%
Max DD
0.00%
Sharpe
N/A
Profit Factor
N/A
Total Trades
0
Backtest insights
The Dragonfly Doji strategy generated a total return of 0.0% over the 3 day timeframe. With a maximum drawdown of 0.00% and a win rate of 0.0% across 0 trades, the result shows how this indicator rule reacted to BTC/USDT trend changes during the tested window. The same entry, exit, and timeframe rules are used across every metric on this page.
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 Dragonfly Doji Strategy Works
What It Is
The Dragonfly Doji candle pattern has a long lower shadow and a close near the high, showing rejection of lower prices. This test uses the Dragonfly Doji as the long trigger and a Bearish Engulfing pattern as the exit reference. The page reports a real CoinQuant backtest on BTC/USDT 3 day data.
How Signals Are Generated
A long entry triggers when a Dragonfly Doji pattern is detected on the selected timeframe. The position exits when a Bearish Engulfing pattern is detected, giving each Doji-family entry a consistent bearish reversal exit that CoinQuant can compile. This keeps the strategy auditable and repeatable inside CoinQuant.
When It Works Best
This strategy tends to work best when downside rejection is followed by sustained buying pressure rather than another selloff. The 3 day timeframe captures a distinct market rhythm, so the same indicator can behave differently across horizons.
When It Performs Poorly
The strategy struggles when Dragonfly Doji candles appear during weak bounces inside broader downtrends. A lower-shadow rejection can fail if follow-through buying does not arrive.
Strengths
Tests a bullish rejection candle pattern
Uses a simple and auditable long-only rule
Works across the standard 19 timeframe grid
Limitations
A Dragonfly Doji needs context to confirm reversal quality
Bearish follow-through can appear quickly after failed bounces
Sparse signals on higher timeframes may limit sample size
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 Dragonfly Doji strategy perform on BTC/USDT in the 3 day timeframe?
In this backtest the Dragonfly Doji strategy on the 3 day timeframe generated a return of 0.0% with a maximum drawdown of 0.00% and a win rate of 0.0% across 0 trades. These results are based on historical backtest data and actual performance may vary.
What is the Dragonfly Doji indicator?
The Dragonfly Doji candle pattern has a long lower shadow and a close near the high, showing rejection of lower prices. This test uses the Dragonfly Doji as the long trigger and a Bearish Engulfing pattern as the exit reference.
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.
How can I test the Dragonfly Doji strategy on CoinQuant?
Paste the exact strategy prompt from this page into CoinQuant, select BTC/USDT and the 3 day timeframe, and CoinQuant generates a full backtest with performance metrics, no coding required.
What are the best settings for the Dragonfly Doji strategy on the 3 day timeframe?
Optimal settings depend on the indicator parameters, timeframe, market regime, and trading objective. The default tested here is the exact rule shown in the strategy prompt. CoinQuant lets you test parameter variations to find the best fit for the 3 day timeframe.
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