Live Backtest Results
This backtest analyzes the BTC Volatility Ratio strategy over the 45 minute timeframe. The tested logic is consistent across the page: A long entry triggers when the Volatility Ratio, using a 14-period fast setting and 50-period slow setting, crosses above 1.0 on the selected timeframe. The position exits when the ratio crosses back below 1.0.
ROI
-55.6%
Win Rate
45.4%
Max DD
60.21%
Sharpe
N/A
Profit Factor
0.78
Total Trades
533
Backtest insights
The Volatility Ratio strategy generated a total return of -55.6% over the 45 minute timeframe. With a maximum drawdown of 60.21% and a win rate of 45.4% across 533 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 Volatility Ratio Strategy Works
What It Is
The Volatility Ratio compares faster volatility with slower baseline volatility to identify expansion and contraction. This test uses a 14 versus 50 setting and treats a cross above 1.0 as the long trigger. The page reports a real CoinQuant backtest on BTC/USDT 45 minute data.
How Signals Are Generated
A long entry triggers when the Volatility Ratio, using a 14-period fast setting and 50-period slow setting, crosses above 1.0 on the selected timeframe. The position exits when the ratio crosses back below 1.0. This keeps the strategy auditable and repeatable inside CoinQuant.
When It Works Best
This strategy tends to work best when faster volatility expands above its slower baseline and supports directional continuation. The 45 minute timeframe captures a distinct market rhythm, so the same indicator can behave differently across horizons.
When It Performs Poorly
The strategy struggles when volatility expansion is brief or directionless. In those conditions, the ratio can cross above and below 1.0 without a sustained BTC/USDT move.
Strengths
Tests volatility expansion with explicit fast and slow periods
Uses transparent 1.0 crossover rules
Helps separate elevated movement from normal movement
Limitations
Volatility spikes can mark exhaustion instead of continuation
The 14 and 50 settings may be too sensitive or too slow by timeframe
The ratio does not guarantee trend direction
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 Volatility Ratio strategy perform on BTC/USDT in the 45 minute timeframe?
In this backtest the Volatility Ratio strategy on the 45 minute timeframe generated a return of -55.6% with a maximum drawdown of 60.21% and a win rate of 45.4% across 533 trades. These results are based on historical backtest data and actual performance may vary.
What is the Volatility Ratio indicator?
The Volatility Ratio compares faster volatility with slower baseline volatility to identify expansion and contraction. This test uses a 14 versus 50 setting and treats a cross above 1.0 as the long trigger.
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 Volatility Ratio strategy on CoinQuant?
Paste the exact strategy prompt from this page into CoinQuant, select BTC/USDT and the 45 minute timeframe, and CoinQuant generates a full backtest with performance metrics, no coding required.
What are the best settings for the Volatility Ratio strategy on the 45 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 45 minute timeframe.
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