ICT Market Structure Screener (Zeiierman)

How it works

The ICT Market Structure Screener analyzes price movements by identifying high and low pivot points within a specified time period. It tracks changes in market structure by categorizing price movements into bullish or bearish structures, detecting key transitions like Change of Character (ChoCH) and Smart Money Shift (SMS).

The indicator calculates premium, mid-range, and discount levels to help traders understand potential trend reversals and institutional trading behaviors. By plotting these critical levels, the screener provides real-time insights into market dynamics, highlighting potential entry and exit points based on smart money concepts.

Why it may be useful

The ICT Market Structure Screener provides traders with a comprehensive tool to understand institutional trading strategies and market trends. By visualizing smart money movements, traders can gain deeper insights into potential market direction, helping them make more informed trading decisions across multiple timeframes and asset classes.

The screener's ability to simultaneously monitor multiple symbols allows traders to efficiently manage their portfolio, identifying opportunities across different markets. Its focus on institutional trading behaviors helps traders align their strategies with professional market participants, potentially improving trade selection and risk management.

When to explore it

The ICT Market Structure Screener is most effective in markets with clear institutional participation, such as forex, futures, and major stock indices. Traders can utilize this tool during periods of market transitions, when identifying potential trend reversals or confirmations of existing trends becomes critical for making strategic trading decisions.

The indicator works best when combined with other technical analysis tools, providing additional context for trading signals. It is particularly useful for traders who want to understand market structure, track smart money movements, and develop more systematic approaches to identifying high-probability trading opportunities.

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