BTC
FOUR PRICE DOJI
3M

BTC Four Price Doji Strategy 3 Minute Backtest Results

See how a BTC/USDT Four Price Doji strategy performs over the 3 minute timeframe using real CoinQuant backtest data, including returns, drawdown, win rate, Sharpe ratio, profit factor, and trade count.

Performance

Live Backtest Results

This corrected backtest analyzes the BTC Four Price Doji strategy over the 3 minute timeframe. The exact Strategy Prompt below defines the corrected executable configuration, including its entry and exit rules and the selected backtest window.

ROI

-27.33%

Win Rate

43.72%

Max DD

34.64%

Sharpe

-2.95

Profit Factor

0.79

Total Trades

908

Backtest insights

The Four Price Doji strategy generated a total return of -27.33% over the 3 minute timeframe. With a maximum drawdown of 34.64% and a win rate of 43.72% across 908 trades, the corrected backtest ran from 2026-06-01 to 2026-09-15. The selected strategy version and backtest identifiers are recorded in the configuration below.

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 Four Price Doji Strategy Works

What It Is

The Four Price Doji candle pattern forms when the open, high, low, and close are effectively the same price. It signals an unusually narrow bar with little directional movement. This test uses the Four Price Doji pattern as the long trigger and a Bearish Engulfing pattern as the exit reference. The page reports a real CoinQuant backtest on BTC/USDT 3 minute data.

How Signals Are Generated

The corrected configuration is defined by the exact Strategy Prompt below. It uses the selected 3 minute timeframe and runs from 2026-06-01 to 2026-09-15.

Strategy Prompt

Long-only BTCUSDT on the 3-minute timeframe using bars. Do not use any named candlestick detector or a generic Doji. Implement a Four Price Doji approximation as an explicit OHLC near-equality rule using the current bar: High and Low must be within 0.25 percent of each other, and Open and Close must each lie inside that same High-Low band, so every OHLC value is compressed into a maximum 0.25 percent range. Also require the absolute Open-Close body to be at most 0.05 percent of Close. These are transparent tolerances for near-equal OHLC, not a generic Doji. Enter long at the close of this compressed candle. Exit the long only when a Bearish Engulfing pattern is detected. Backtest 2026-06-01 to 2026-09-15.

When It Works Best

This strategy tends to work best when a very compressed bar appears before volatility expansion and BTC/USDT breaks higher afterward. The 3 minute timeframe captures a distinct market rhythm, so the same indicator can behave differently across horizons.

When It Performs Poorly

The strategy struggles when Four Price Doji signals are rare or occur during illiquid, inactive, or noisy conditions without follow-through.

Strengths

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Tests an extreme low-range candle pattern

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Makes rare compression signals measurable

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Uses explicit candle-pattern entry and exit rules

Limitations

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Signals may be sparse on many timeframes

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A flat candle does not imply direction

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Results can be sensitive to data granularity

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.

Feature CoinQuant Manual Trading Other Platforms
Backtesting Speed Instant, automated Manual, time-consuming Often slow or limited
Data Accuracy Uses real historical market data Prone to human error Varies by platform
No-Code Strategy Building Fully no-code, beginner-friendly No Often requires coding or complex setup
Strategy Validation Full performance metrics (ROI, drawdown, win rate) Difficult to measure Partial or unclear
Ease of Use Beginner-friendly interface Requires experience Often technical
Learning Curve Low High Medium to high
Scalability Test multiple strategies quickly Not scalable Limited scaling
Automation Fully automated backtesting and execution Manual only Partial automation
Optimization Easy parameter testing and iteration Very difficult Limited tools
Setup Time Minutes, no coding required Hours / Days Moderate to high
Reliability of Results Structured, data-driven backtesting Depends on user accuracy Depends on platform
Time Efficiency Minutes Hours / Days Moderate
Best For Fast, no-code strategy validation and testing Experienced manual traders Mixed use cases

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 Four Price Doji strategy perform on BTC/USDT in the 3 minute timeframe?

In this corrected backtest, the Four Price Doji strategy on the 3 minute timeframe generated a return of -27.33% with a maximum drawdown of 34.64% and a win rate of 43.72% across 908 trades. These results are based on historical backtest data and actual performance may vary.

What is the Four Price Doji indicator?

The Four Price Doji candle pattern forms when the open, high, low, and close are effectively the same price. It signals an unusually narrow bar with little directional movement. This test uses the Four Price Doji pattern 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 Four Price Doji strategy on CoinQuant?

Paste the exact strategy prompt from this page into CoinQuant, select BTC/USDT and the 3 minute timeframe, and CoinQuant generates a full backtest with performance metrics, no coding required.

What are the best settings for the Four Price Doji strategy on the 3 minute 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 minute timeframe.

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