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stelaraX - Connors RSI

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stelaraX – Connors RSI

stelaraX – Connors RSI is a short-term momentum oscillator designed to identify overbought and oversold conditions with higher precision than traditional RSI. It combines price momentum, streak behavior, and percentile ranking to capture short-term exhaustion and mean-reversion opportunities.

This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation
stelarax.com

Core logic

The Connors RSI (CRSI) is calculated as the average of three distinct components, each capturing a different aspect of short-term market behavior.

Key principles:

* a short-period RSI measures immediate price momentum
* a streak-based RSI evaluates consecutive up or down closes
* a percentile rank measures the relative magnitude of recent price changes
* all three components are equally weighted
* values are normalized on a 0–100 scale

This structure allows the Connors RSI to react quickly to momentum extremes and short-term price exhaustion.

Visualization

The script plots:

* the Connors RSI line in a separate indicator pane
* upper and lower extreme levels highlighting overbought and oversold zones
* a midline for neutral momentum context
* a filled background zone emphasizing the active momentum range

This presentation makes short-term momentum shifts and extreme conditions immediately visible.

Use case

This indicator is intended for:

* identifying short-term overbought and oversold conditions
* timing mean-reversion entries and exits
* detecting short-term momentum exhaustion
* supporting high-frequency or short-term trading strategies
* complementing trend filters and AI-assisted chart analysis

It is most effective on lower timeframes or when used in conjunction with higher-timeframe trend confirmation.

Disclaimer

This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.

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