Live Backtest Results
This corrected backtest analyzes the BTC Four Price Doji strategy over the 8 hour timeframe. The exact Strategy Prompt below defines the corrected executable configuration, including its entry and exit rules and the selected backtest window.
ROI
6.95%
Win Rate
100.00%
Max DD
3.03%
Sharpe
0.35
Profit Factor
N/A
Total Trades
2
Backtest insights
The Four Price Doji strategy generated a total return of 6.95% over the 8 hour timeframe. With a maximum drawdown of 3.03% and a win rate of 100.00% across 2 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 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 8 hour data.
How Signals Are Generated
The corrected configuration is defined by the exact Strategy Prompt below. It uses the selected 8 hour timeframe and runs from 2017-01-01 to 2026-03-31.
Strategy Prompt
Long-only BTCUSDT on the 8-hour 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 2017-01-01 to 2026-03-31.
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 8 hour 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
Tests an extreme low-range candle pattern
Makes rare compression signals measurable
Uses explicit candle-pattern entry and exit rules
Limitations
Signals may be sparse on many timeframes
A flat candle does not imply direction
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.
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 8 hour timeframe?
In this corrected backtest, the Four Price Doji strategy on the 8 hour timeframe generated a return of 6.95% with a maximum drawdown of 3.03% and a win rate of 100.00% across 2 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 8 hour 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 8 hour 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 8 hour timeframe.
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