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Found 21 Skills
Screen and analyze stocks through an ESG (Environmental, Social, Governance) lens, evaluating sustainability practices, controversy exposure, and responsible investing criteria. Use when the user asks about ESG investing, sustainable investing, socially responsible investing (SRI), impact investing, green stocks, carbon footprint analysis, governance quality assessment, controversy screening, exclusion lists, or ESG scoring of companies or portfolios.
Screen and deeply analyze potential NSE multibagger stocks using a Peter Lynch-style quality, growth, valuation, and technical framework. Use when the user asks for multibagger stocks, undervalued high-growth NSE stocks, Peter Lynch-style analysis, top NSE multibagger candidates, smallcap/midcap compounders, value traps, or worst-case scenarios for high-potential stocks.
Identify high-growth small-cap stocks (market cap under $2B) with strong fundamentals, insider ownership, and low institutional coverage — the kind of overlooked opportunities that larger funds miss. Use when the user asks to find small-cap growth stocks, discover under-the-radar companies, screen for founder-led small caps, identify emerging growth companies, find low-institutional-ownership stocks, or seek multi-bagger candidates with strong fundamentals.
Small-cap growth stock discovery — identifies overlooked small/mid-cap high-growth companies (A-share 专精特新, HK growth stocks, US small-cap growth) by screening for market cap < 5–10B, revenue growth > 30%, ROE > 15%, and low institutional ownership. Triggers: "小盘成长", "小市值", "成长股", "中小盘", "专精特新", "隐形冠军", "小盘股", "成长潜力", "小盤成長", "小市值", "成長股", "中小盤", "專精特新", "隱形冠軍", "small cap growth", "small cap stocks", "growth stocks", "mid-small cap", "hidden champions", "high growth companies", "small cap discovery", "emerging growth", "小市值成长股", "中小市值".
Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.
Screens and selects stocks based on customizable quantitative criteria including value, growth, quality, and momentum factors
Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals or technicals, or asks to open FinViz with specific conditions. Supports both Japanese and English input (e.g., "高配当で成長している小型株を探したい", "Find oversold large caps with high ROE").
Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something".
Identify candidate stocks with sufficient pullbacks but intact trends and acceptable support structures, and output observation ranges, reversal signals, and invalidation conditions. Suitable for scenarios such as bargain-hunting opportunity screening, secondary entry for strong stocks, and pullback observation for trend stocks.