
An advanced screener that identifies and tracks order blocks across 5 tickers, providing insights into market order volumes, status, and potential trading opportunities.
Explore complementary indicator rolesHow it works
Order blocks are identified by analyzing high market order volumes within specific price ranges. The screener uses a customizable algorithm to detect these zones, examining the volume dynamics of the last few price bars to determine block strength and characteristics.
The algorithm calculates volume profiles differently for bullish and bearish scenarios, considering the total volume of the last two bars and the oldest bar's volume. It then categorizes the order block's status as far, approaching, or inside, providing traders with real-time insights into potential trading opportunities.
Why it may be useful
Order blocks represent critical price zones where significant market orders have accumulated, indicating potential support or resistance levels. By tracking these zones across multiple tickers, traders can gain a comprehensive view of market dynamics and identify high-probability trading opportunities.
The screener's ability to show retest counts and volume characteristics helps traders understand the strength and reliability of these order blocks, enabling more informed decision-making and risk management strategies.
When to explore it
The order blocks screener is most effective in markets with significant institutional trading activity and clear volume dynamics. It works best in liquid markets where large market orders can create meaningful price interactions and potential reversal zones.
Traders should use this tool when seeking to identify key support and resistance levels, understand market sentiment, and detect potential entry and exit points across multiple tickers simultaneously.
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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.






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