BTC
CCI
10M

BTC CCI Strategy 10 Minute Backtest Results

See how the CCI indicator strategy performs on BTC/USDT over the 10 minute timeframe using real historical backtest data, including returns, drawdown, and win rate.

Performance

Live Backtest Results

This backtest analyzes the performance of the CCI strategy on BTC/USDT over the 10 minute timeframe using historical market data. The Commodity Channel Index (CCI) is a momentum oscillator that measures how far price has deviated from its statistical average, using +100 and -100 as key threshold levels. The results provide insight into profitability, risk exposure, and consistency.

ROI

-71.5%

Win Rate

24.7%

Max DD

71.60%

Sharpe

N/A

Profit Factor

0.64

Total Trades

2528

Backtest insights

The CCI strategy generated a total return of -71.5% over the 10 minute timeframe. With a maximum drawdown of 71.60% and a win rate of 24.7% across 2528 trades, the 20-period CCI aims to catch momentum shifts by tracking when price stretches meaningfully away from its recent average.

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 CCI Strategy Works

What It Is

The Commodity Channel Index (CCI) is a momentum oscillator developed to identify cyclical trends by measuring the deviation of price from its statistical average (a moving average of the typical price). Readings above +100 signal price is well above its average, suggesting a strong upward move; readings below -100 signal the opposite. This BTC CCI strategy goes long only when the 20-period CCI crosses above +100 on the 10 minute timeframe.

How Signals Are Generated

A long entry triggers when the 20-period CCI crosses above the +100 threshold on the 10 minute timeframe, confirming that price momentum has turned strongly positive. The position exits when the CCI crosses back below +100, signalling that the upward momentum has faded.

When It Works Best

This strategy performs best during clean, persistent trends where the CCI stays above +100 for extended periods without dipping back below the threshold. The 10 minute timeframe captures a specific market rhythm where directional moves tend to persist long enough for the CCI to remain in the strong-momentum zone.

When It Performs Poorly

The strategy struggles in choppy, sideways markets where the CCI repeatedly crosses above and below the +100 threshold, producing many small losing trades. Sharp reversals can also give back open profit before the exit signal triggers.

Strengths

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Momentum oscillator adapts to price deviation from its statistical average

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Clear, rule-based threshold crossings for entry and exit reduce emotional trading

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Single indicator with a simple threshold rule is easy to understand and monitor

Limitations

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Prone to whipsaws in ranging markets, frequent threshold crossings around +100

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As a bounded oscillator, it can generate false signals during low-volatility drift

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Fixed 20-period CCI 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.

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 CCI strategy perform on BTC/USDT in the 10 minute timeframe?

In this backtest the CCI strategy on the 10 minute timeframe generated a return of -71.5% with a maximum drawdown of 71.60% and a win rate of 24.7% across 2528 trades. These results are based on historical backtest data and actual performance may vary.

What is the CCI indicator?

The Commodity Channel Index (CCI) is a momentum oscillator that measures how far current price has deviated from its statistical average. It uses +100 and -100 as key thresholds: crossing above +100 signals strong upward momentum, while crossing below -100 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 CCI strategy on CoinQuant?

Describe the strategy in natural language, select BTC/USDT and the 10 minute timeframe, and CoinQuant instantly generates a full backtest with all performance metrics, no coding required.

What are the best settings for the CCI strategy on the 10 minute timeframe?

Optimal settings depend on the CCI lookback period and the entry/exit threshold. The default used here is a 20-period CCI with +100 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 10 minute timeframe.

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