Analyze the current US equity market regime using public market data, sector rotation, relative strength, breadth, leadership concentration, market participation, defensive vs cyclical behavior, volatility, small vs large caps, and growth vs value. Generate a modern visual dashboard with transparent data confidence and proxy labeling — research only, with no buy/sell calls, allocation advice or trading instructions.
Three independent AI reviewers audit your investor update for vague claims, buried bad news, and fuzzy asks, then cross-examine each other before a board verdict.
Paste current and prior annual-report risk excerpts for a source-bounded change brief that separates new wording, removed wording, supported implications, and review questions.
Turn pasted operating metrics, risks, and decision requests into a concise board-update storyboard. Keep values traceable, expose gaps, and separate supplied facts from proposals.
Turn raw 30-day cross-platform chatter into actionable market truth. Deep sentiment, competitor tracking, and trend intelligence across Reddit, Hacker News, Polymarket, and TikTok.
Track what insiders and 13 top funds, from Berkshire to Pershing Square, are buying and selling, straight from SEC filings. Fund-by-fund 13F changes, consensus buys, any-ticker lookup and insider red flags, every number linked to its source.
Built on clinical epidemiology, biostatistics, causal inference, and evidence-based medicine. TrialReviewer analyzes RCTs, observational studies, meta-analyses, and diagnostic research using effect sizes, survival analysis, bias detection, GRADE, and benefit-harm frameworks to judge whether findings are valid, meaningful, and practice-changing.