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RSI oversold bounce strategy — backtest & Pine Script

Backtest the RSI 30/70 strategy: buy when RSI crosses up from oversold, sell when it reaches overbought. Free backtest with stop-loss and Pine Script export.

✓ Free backtests✓ EMA · SMA · RSI · MACD · Bollinger · Stochastic · Breakouts★ Pine Script export with Pro

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How the RSI oversold bounce strategy works

The Relative Strength Index (RSI) measures the speed of recent price moves on a 0–100 scale. Readings below 30 are called oversold and above 70 overbought. This mean-reversion strategy buys when RSI climbs back above 30 and sells when RSI reaches 70.

Rules

Buy when RSI(14) crosses above 30.
Sell when RSI(14) crosses above 70, or at an 8% stop-loss.

Mean-reversion works best in ranging markets and can suffer in strong down-trends, which is why a stop-loss is included. Try RSI(2) with levels 10/90 for a short-term variant.

Backtests use historical data and simplified fills. Past performance does not guarantee future results. Education only — not investment advice.

FAQ

What are the rules of the RSI oversold bounce strategy?

Buy when RSI(14) crosses above 30.. Sell when RSI(14) crosses above 70, or at an 8% stop-loss.. Mean-reversion works best in ranging markets and can suffer in strong down-trends, which is why a stop-loss is included. Try RSI(2) with levels 10/90 for a short-term variant.

Can I test Indian stocks, Nifty or forex?

Export the strategy as Pine Script (Pro) and paste it into TradingView’s Pine Editor. TradingView then backtests it on any symbol — Nifty, Bank Nifty, Reliance, EUR/USD, gold and more.

How are trades executed in the backtest?

Signals are checked at the close of each bar and orders are filled at that close. Stop-loss and take-profit are checked against each later bar’s high and low; if both are touched in the same bar, the stop-loss is assumed first. Fees are charged on entry and exit.

Does a good backtest mean the strategy will make money?

No. A backtest only shows how rules behaved on past data. Over-optimised rules often fail in live markets. Test on several symbols and timeframes, keep rules simple and always use risk management. This tool is for education, not investment advice.