Results for “stock-scanning”

Screen US stocks using William O'Neil's CANSLIM growth stock methodology with composite scoring and weighted components.

Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring.

Screen US stocks for high-quality dividend opportunities combining value characteristics, attractive yields, and consistent growth using a two-stage screening approach with FINVIZ Elite and FMP APIs.

Identifies and analyzes statistical arbitrage opportunities through pair trading, using correlation analysis, cointegration testing, and z-score calculations to generate entry/exit signals for market-neutral strategies.

Scans CoinGecko for top movers, losers, and trending coins, enriched with pump-risk flags for pre-trade screening.

Produces structured US equity research and trading support: company snapshots, earnings analysis, valuation scenarios, catalysts, risks, and action plans with falsifiable claims.

Screen post-earnings gap-up stocks for Post-Earnings Announcement Drift patterns using weekly candle analysis to detect red candle pullbacks and breakout signals.

Screens for dividend growth stocks with 12%+ annual dividend growth and 1.5%+ yield that are experiencing temporary pullbacks identified by RSI oversold conditions (RSI ≤40).

Monitor dividend portfolios for risk triggers and route anomalies into a human review queue without auto-selling.

用 Serenity 的供应链卡点逆向投资逻辑分析美股/AI 供应链标的,产出专业投研报告,包含逆向链显形、卡点判据、估值与证伪门。