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Screen and score stocks with filters, custom rules, and history.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Quality Screener" MCP server from askskill: Run: claude mcp add --transport http 'io-github-quality-screener-qscreener' 'https://mcp.qualityscreener.io/mcp'
Use Quality Screener to filter stocks by market cap, valuation, and growth criteria, then return the matches.
A list of stocks that match the filters.
Use Quality Screener to apply custom scoring rules to stocks and output them sorted by score.
A ranked stock list with custom scores.
Use Quality Screener to review my previous screening runs and historical results.
A summary of past screening runs and results.
A researcher or analyst wants to narrow a stock universe before deeper comparison. This tool can filter and score candidates to help build a research watchlist.
When users have their own stock-picking logic, custom scores can encode the rules. It is useful for repeatedly running the same screening process.
Users may want to compare screening results across time and track universe changes. The history feature helps revisit prior screens and scores.
It is used to screen and score stocks, with filters, custom scores, and history review.
Based on the provided description, the core capabilities are filters, custom scores, and history. See the source repository for more details.
The provided information does not specify installation or key requirements; for exact setup details, see the source repository.
Turn plain-English strategies into quant research with screening, backtests, and factor analysis.
Search Indian companies and retrieve financials, ratios, peers, and custom screens.
Query US stock scores, history, watchlists, search, and recent news.
Screen global stock markets to quickly find equities matching your criteria.
Screen stocks, options, and crypto with backtesting and risk checks.
Fetch company, profit, and shareholding data for stock fundamental analysis.