BTC
RSI
Daily
6 months

BTC RSI Strategy 6 Month Backtest Results

This page presents verified backtest results for the RSI(14) oversold reversal strategy applied to BTC/USDT over a 6-month period from October 30, 2025 to April 30, 2026. Results are generated directly from CoinQuant backtesting infrastructure using live historical market data.

Performance

Live Backtest Results

This backtest analyzes the performance of the RSI strategy on BTC over the 6-month timeframe using historical market data from Binance. The results reflect how the strategy would have performed under real market conditions, covering profitability, risk exposure, and trade consistency.

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ROI

+12.60%

Win Rate

100.0%

2
W
0
L

Max DD

-11.85%

Total Trades

2

Sharpe

0.84

Profit Factor

1.84

CAGR

26.87%

Final Balance

$11,260

Backtest insights

Over the 6-month period, the RSI(14) daily strategy on BTC generated a total return of +12.60% with only 2 trades, both profitable. The 100% win rate across this period reflects how infrequently RSI reaches oversold territory on the daily chart during a predominantly bullish or range-bound market. The maximum drawdown of 11.85% indicates acceptable risk exposure relative to the return achieved. A Sharpe ratio of 0.84 reflects moderate risk-adjusted performance over this window. With annualized returns of 26.87%, the strategy shows meaningful positive performance, though the small sample of 2 trades means results should be considered alongside longer historical data.

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 RSI Strategy Works

What It Is

The RSI (Relative Strength Index) is a momentum indicator that measures the speed and magnitude of recent price changes on a scale of 0 to 100. It identifies when an asset may be overbought or oversold, and is widely used by traders to time entries and exits. On a daily chart, RSI signals are slower-moving and typically more reliable than shorter timeframe readings.

How Signals Are Generated

In this strategy, an entry signal is triggered when RSI(14) crosses above 30 from below, indicating a recovery from oversold conditions. An exit signal fires when RSI(14) crosses above 70, signaling that the asset has entered overbought territory. On the daily timeframe, these signals occur infrequently and represent high-conviction setups.

When It Works Best

This strategy tends to perform best in markets that move through clear oscillating phases, where price pulls back to oversold conditions before recovering. Longer timeframes like the daily chart reduce noise and signal whipsaws, making RSI readings more meaningful as genuine turning points.

When It May Perform Poorly

During extended trending conditions, RSI can remain above 30 for weeks or months without triggering an entry signal. In strong bear markets, RSI can also stay depressed for long periods, generating false recovery signals before prices resume declining. The low trade count in the 6-month period reflects this characteristic.

Strengths

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Clear, rules-based entry and exit signals with no ambiguity. RSI crossovers provide precise trigger points that are easy to validate and backtest

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Daily timeframe reduces market noise compared to intraday signals, resulting in fewer but higher-quality trade setups

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Well-suited to traders who prefer a low-frequency approach — the strategy generated only 2 trades in 6 months, minimising transaction costs

Limitations

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Very few trades over shorter periods — a sample of 2 trades over 6 months is insufficient to draw statistically significant conclusions about long-term performance

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Does not account for the overall market trend direction — buying into an oversold reading during a sustained downtrend can result in catching a falling knife

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RSI alone is insufficient as a standalone signal without confirmation filters such as volume analysis, trend direction, or support level validation

Frequently asked questions

How did the RSI strategy perform on BTC over the last 6 months?

The RSI(14) daily strategy on BTC returned +12.60% over the 6-month period from October 30, 2025 to April 30, 2026. It executed 2 trades, both profitable, with a 100% win rate and a maximum drawdown of 11.85%. The annualized return was 26.87%.

Is the RSI strategy reliable for trading BTC?

The RSI strategy is most reliable in range-bound or oscillating markets where price cycles predictably between overbought and oversold zones. For BTC, which can trend strongly for extended periods, RSI works best when combined with additional filters such as a trend confirmation indicator or volume analysis. The 6-month backtest above shows how the strategy performs under recent market conditions.

Why is backtesting important for trading strategies?

Backtesting lets you evaluate how a strategy would have performed against real historical data before risking any capital. It surfaces weaknesses, helps you calibrate parameters, and provides objective metrics like win rate, drawdown, and Sharpe ratio. CoinQuant automates this process so any trader can backtest any strategy in plain English without writing code.

How can I test the RSI strategy on CoinQuant?

Log into CoinQuant and type your strategy in plain English, for example: “Enter when RSI(14) crosses above 30. Exit when RSI crosses above 70. Daily chart, BTCUSDT.” CoinQuant will interpret your instructions, build the strategy schema, and run the backtest automatically. No coding required.

What are the best RSI settings for the 6-month timeframe?

For a 6-month daily backtest on BTC, RSI(14) with oversold threshold at 30 and overbought at 70 is the standard starting point. Some traders adjust to RSI(7) for faster signals or lower the overbought exit to 60 in bear market conditions. CoinQuant lets you test any parameter combination instantly to find what works best for your specific target period.

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