Live Backtest Results
This backtest analyzes the performance of the CMO strategy on BTC/USDT over the weekly timeframe using historical market data. The Chande Momentum Oscillator (CMO) is a momentum oscillator that measures the ratio of up-day momentum to down-day momentum, using +50 and -50 as key threshold levels. The results provide insight into profitability, risk exposure, and consistency.
ROI
858.5%
Win Rate
50.0%
Max DD
28.99%
Sharpe
0.91
Profit Factor
3.67
Total Trades
12
Backtest insights
The CMO strategy generated a total return of 858.5% over the weekly timeframe. With a maximum drawdown of 28.99% and a win rate of 50.0% across 12 trades, the 14-period CMO aims to catch momentum shifts by tracking the balance between up-day and down-day price momentum.
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 CMO Strategy Works
What It Is
The Chande Momentum Oscillator (CMO) is a momentum oscillator developed by Tushar Chande to measure the ratio of the sum of recent up-day gains to the sum of recent down-day losses, scaled to range between -100 and +100. Readings above +50 signal price momentum is strongly skewed to the upside; readings below -50 signal the opposite. This BTC CMO strategy goes long only when the 14-period CMO crosses above +50 on the weekly timeframe.
How Signals Are Generated
A long entry triggers when the 14-period CMO crosses above the +50 threshold on the weekly timeframe, confirming that price momentum has turned strongly positive. The position exits when the CMO crosses back below +50, signalling that the upward momentum has faded.
When It Works Best
This strategy performs best during clean, persistent trends where the CMO stays above +50 for extended periods without dipping back below the threshold. The weekly timeframe captures a specific market rhythm where directional moves tend to persist long enough for the CMO to remain in the strong-momentum zone.
When It Performs Poorly
The strategy struggles in choppy, sideways markets where the CMO repeatedly crosses above and below the +50 threshold, producing many small losing trades. Sharp reversals can also give back open profit before the exit signal triggers.
Strengths
Momentum oscillator adapts to the ratio of up-day to down-day price movement
Clear, rule-based threshold crossings for entry and exit reduce emotional trading
Single indicator with a simple threshold rule is easy to understand and monitor
Limitations
Prone to whipsaws in ranging markets, frequent threshold crossings around +50
As a bounded oscillator, it can generate false signals during low-volatility drift
Fixed 14-period CMO settings may not be optimal for every regime
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 CMO strategy perform on BTC/USDT in the weekly timeframe?
In this backtest the CMO strategy on the weekly timeframe generated a return of 858.5% with a maximum drawdown of 28.99% and a win rate of 50.0% across 12 trades. These results are based on historical backtest data and actual performance may vary.
What is the CMO indicator?
The Chande Momentum Oscillator (CMO) is a momentum oscillator developed by Tushar Chande that measures the ratio of recent up-day gains to recent down-day losses, on a scale from -100 to +100. It uses +50 and -50 as key thresholds: crossing above +50 signals strong upward momentum, while crossing below -50 signals strong downward momentum.
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. Without backtesting, traders are flying blind.
How can I test the CMO strategy on CoinQuant?
Describe the strategy in natural language, select BTC/USDT and the weekly timeframe, and CoinQuant instantly generates a full backtest with all performance metrics, no coding required.
What are the best settings for the CMO strategy on the weekly timeframe?
Optimal settings depend on the CMO lookback period and the entry/exit threshold. The default used here is a 14-period CMO with +50 as the threshold. A shorter lookback reacts faster but whipsaws more; a higher threshold requires stronger momentum before entering, which can reduce false signals. CoinQuant lets you test multiple parameter combinations to find the best fit for the weekly timeframe.
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