>_ QualScreener
context-based stock screener built by a retail investor to tag and filter investment ideas based on qualitative traits (net-nets, turnarounds, buybacks, insider buys, catalysts, moats) rather than purely historical metrics. an ai engine reads thousands of investment reviews and categorizes them so users can screen for what's happening now, not just what past earnings show. filters include market cap, upside %, irr %, and region.
best for
retail investors seeking qualitative idea generation beyond traditional quantitative screeners
typical workflow position
idea generation→screening
key featureScreen for tomorrow's success, not yesterday's earnings
asset classEquities
functionScreeners
pricingFREE
added1mo ago
upvotes0
viaweb
instrumentsStocks
audienceretail
user baseRetail
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