BTC
GRAVESTONE DOJI
1W

BTC Gravestone Doji Strategy Weekly Backtest Results

See how a BTC/USDT Gravestone Doji strategy performs over the weekly 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 Gravestone Doji strategy over the weekly timeframe. The exact Strategy Prompt below defines the corrected executable configuration, including its entry and exit rules and the selected backtest window.

ROI

10.16%

Win Rate

66.67%

Max DD

45.69%

Sharpe

0.15

Profit Factor

1.26

Total Trades

3

Backtest insights

The Gravestone Doji strategy generated a total return of 10.16% over the weekly timeframe. With a maximum drawdown of 45.69% and a win rate of 66.67% across 3 trades, the corrected backtest ran from 2017-01-01 to 2026-03-31. 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 Gravestone Doji Strategy Works

What It Is

The Gravestone Doji candle pattern has a long upper shadow and a close near the low, showing rejection of higher prices. This long,only test measures whether entries after that pattern can still produce BTC/USDT follow,through. The page reports a real CoinQuant backtest on BTC/USDT weekly data.

How Signals Are Generated

The corrected configuration is defined by the exact Strategy Prompt below. It uses the selected weekly timeframe and runs from 2017-01-01 to 2026-03-31.

Strategy Prompt

Long-only BTCUSDT on the 1w bars timeframe. Use the engine-supported Long Upper Shadow candle-pattern component as a transparent proxy for a Gravestone Doji-like upper-wick exhaustion setup, not a generic Doji. Explicitly preserve the intended geometry: a doji-like small body, Open and Close nearly equal and near the Low, a long upper shadow, and a minimal lower shadow. The intended OHLC thresholds are body at most 25% of High minus Low, both Open and Close in the lowest 35% of range, upper shadow at least 50% of range, and lower shadow at most 20% of range. \{tolerance\} \{invalidation\} Exit long when a Bearish Engulfing pattern is detected. Use an explicit backtest date range from 2017-01-01 to 2026-03-31.

When It Works Best

This strategy tends to work best when a Gravestone Doji acts as a temporary pause and BTC/USDT continues higher after the initial upside rejection. The weekly timeframe captures a distinct market rhythm, so the same indicator can behave differently across horizons.

When It Performs Poorly

The strategy struggles when a Gravestone Doji correctly marks buyer exhaustion. In that regime, long entries can be exposed to quick downside continuation.

Strengths

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Quantifies a commonly bearish candle in a long,only framework

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Uses a transparent pattern,based entry and exit

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Helpful for testing whether assumptions match data

Limitations

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Gravestone Doji patterns are often bearish by interpretation

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Long,only testing may produce weak results in exhaustion regimes

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Signal frequency can vary by timeframe

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 Gravestone Doji strategy perform on BTC/USDT in the weekly timeframe?

In this corrected backtest, the Gravestone Doji strategy on the weekly timeframe generated a return of 10.16% with a maximum drawdown of 45.69% and a win rate of 66.67% across 3 trades. These results are based on historical backtest data and actual performance may vary.

What is the Gravestone Doji indicator?

The Gravestone Doji candle pattern has a long upper shadow and a close near the low, showing rejection of higher prices. This long,only test measures whether entries after that pattern can still produce BTC/USDT follow,through.

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 Gravestone Doji strategy on CoinQuant?

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

What are the best settings for the Gravestone Doji strategy on the weekly 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 weekly timeframe.

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