Live Backtest Results
This backtest analyzes the performance of the Bollinger Bands (20,2) strategy on ETH/USDT over the Weekly timeframe using historical market data. The results provide insight into how the strategy would have performed under real market conditions, including profitability, risk exposure, and consistency.
ROI
55.95%
Win Rate
71.4%
Max DD
48.25%
Sharpe
0.32
Profit Factor
1.38
Total Trades
7
Backtest insights
The Bollinger Bands (20,2) strategy generated a total return of 55.95%, indicating very strong profitability. The maximum drawdown of 48.25% suggests high volatility and significant risk exposure. With a win rate of 71.4% across 7 trades, the strategy demonstrates high consistency.
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 Bollinger Bands (20,2) Strategy Works
What It Is
The Bollinger Bands (20,2) strategy is a mean-reversion approach that uses Bollinger Bands, developed by John Bollinger in the 1980s. Bollinger Bands consist of three lines: a middle band (20-period SMA), an upper band (SMA + 2 standard deviations), and a lower band (SMA - 2 standard deviations). This strategy generates buy signals when price closes below the lower band, indicating the asset is statistically oversold, and exits when price reverts back to the middle band (20 SMA).
How Signals Are Generated
In this strategy, trading signals are generated based on band touches and mean reversion. A buy signal occurs when the price closes below the lower Bollinger Band (20,2), indicating that the asset has moved 2 standard deviations below its 20-period average, a statistically rare and potentially oversold condition. An exit signal occurs when price closes above the middle band (20 SMA), suggesting the mean-reversion has completed.
When It Works Best
This strategy tends to perform best in range-bound or mean-reverting markets where prices oscillate around a central value, and consistently identifies mean-reversion opportunities at band extremes. On the Weekly timeframe, it excels when volatility is moderate and price action remains within a defined range rather than establishing a clear directional trend.
When It Performs Poorly
However, the strategy may underperform during strongly trending markets, where price continues beyond the bands rather than reverting. During strong trending conditions, Bollinger Band touches may produce false signals as the price continues moving in one direction rather than reverting to the mean on the Weekly timeframe.
Strengths
Uses statistical measures (standard deviations) to identify genuinely extreme price levels
The middle band (20 SMA) provides a natural, data-driven exit target
Works across multiple timeframes, from scalping to swing trading
Limitations
In strong trends, price can walk the band, repeatedly closing below the lower band without reverting
Requires broader market context; band touches alone are insufficient in strongly trending conditions
Standard deviation calculation means bands widen in volatile markets, making entries harder to time
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 Bollinger Bands (20,2) strategy perform on ETH/USDT in the Weekly timeframe?
The performance of the Bollinger Bands (20,2) strategy on ETH/USDT in the Weekly timeframe depends on market conditions. Based on the backtest results above, it achieved a return of 55.95% with a maximum drawdown of 48.25%. Results may vary depending on volatility and overall market trends.
Is the Bollinger Bands (20,2) strategy reliable for trading ETH/USDT?
The Bollinger Bands (20,2) strategy can be effective when used in the right conditions. For ETH/USDT, it typically performs best in range-bound markets but may underperform during strongly trending markets. Backtesting helps evaluate its reliability before applying it in live trading.
Why is backtesting important for trading strategies?
Backtesting allows traders to evaluate how a strategy would have performed using historical data. It helps identify strengths, weaknesses, and risk levels before applying the strategy in real markets, reducing the likelihood of unexpected losses.
How can I test the Bollinger Bands (20,2) strategy on CoinQuant?
You can use CoinQuant to build and backtest the Bollinger Bands (20,2) strategy without coding. Simply type the prompt shown below into the CoinQuant chat box and the platform will parse your natural language instruction, generate the strategy logic, and run the full backtest automatically.
What are the best settings for the Bollinger Bands (20,2) strategy on the Weekly timeframe?
The standard Bollinger Bands (20,2) settings work well for most markets, but traders sometimes adjust to BB(10,2) for faster, more sensitive signals or BB(50,2) for slower, longer-term signals. Using a backtesting platform like CoinQuant allows you to test different configurations and identify what works best.
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