GuidesRelative Strength
Best Practices
Recommended workflows and common mistakes.
Do
- Use higher timeframes for stronger signals. RSI readings on the Daily and Weekly charts carry more weight and produce fewer false signals than 15-minute or 30-minute readings.
- Combine RSI with support and resistance. Oversold RSI at a known support level is a much stronger setup than oversold RSI in open space. The confluence of two independent signals improves confidence.
- Confirm signals with price action. A bullish candlestick pattern or momentum shift at an oversold level adds confirmation that buyers are actually responding.
- Use oversold readings to find pullbacks in uptrends. The most reliable oversold setups occur when the higher timeframe trend is bullish and a short-term pullback has pushed RSI below 30. These often resolve quickly in the direction of the dominant trend.
- Use overbought readings to identify momentum leaders. In strong uptrends, overbought RSI can simply indicate sustained buying pressure. Cross-reference with the Performance screener to distinguish momentum continuation from exhaustion.
Avoid
- Assuming overbought means sell. In a strong trend, RSI can remain above 70 for extended periods. Blindly selling every overbought reading in a bull market is a common and costly mistake.
- Assuming oversold means buy. Downtrends can push RSI below 30 repeatedly. Buying every oversold reading in a bear market compounds losses.
- Trading RSI without confirmation. RSI is a momentum indicator, not a prediction tool. Always require price action or level-based confirmation before entering a trade based on an RSI extreme.
Summary
The Relative Strength screener helps traders identify markets exhibiting unusually strong or weak momentum conditions. The Overbought tab highlights instruments with elevated buying pressure; the Oversold tab highlights those under heavy selling pressure. When combined with the Performance, Breakouts, and Support & Resistance screeners, RSI-based signals become significantly more reliable and form the basis for high-probability trading opportunities across multiple timeframes.