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Psych Level Screener

Created by Mereep01

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Psych Level Screener

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A Pine Screener tool that identifies stocks near psychological price levels, helping traders discover potential trading opportunities by scanning watchlists within a specified percentage offset.

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UNDERSTAND THE TOOL

How it works

The Psych Level Screener scans a predefined watchlist to identify stocks trading near round number price levels like 50, 100, or 1000. Users can set a percentage offset (default 5%) to define the search range.

The screener calculates the current price's proximity to psychological levels, showing percentage and dollar moves required to reach those levels. It also provides additional context like daily true range, average volume, and trend indicators across multiple timeframes

Why it may be useful

Psychological price levels are important because traders and investors often place orders or make decisions around round numbers. This screener helps identify potential trading opportunities by highlighting stocks approaching these key levels.

By providing additional metrics like volume, range, and trend information, traders can make more informed decisions. The tool simplifies market scanning and helps traders quickly identify stocks with potential breakout or reversal scenarios

When to explore it

The Psych Level Screener is most effective when looking for potential trend continuation or reversal opportunities. It works best in markets with clear trending behaviors and when traders want to quickly scan multiple stocks.

Ideal for day traders and swing traders seeking stocks near significant price levels. Most useful during periods of market volatility or when searching for stocks with momentum. Traders should combine this tool with other technical analysis methods for comprehensive trading strategies

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CHECK THE DETAILS

What we’ve verified

Access, alerts and repainting behaviour have not been independently verified for this indicator. Check the creator’s current publication and settings.

General descriptions and classifications are recovered research. Verified details above identify the specific checks we have completed. Check the creator’s current publication for later changes.