Deep research on
US equities
Institutional-grade stock analysis generated automatically every morning — fundamental, technical, DCF, 10-K digests, and more — for dozens of US and Taiwan tickers, written by frontier LLMs from live market data.
— analyses in the latest run · 12 report types live · No paywall
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Tickers with published research
Analyses in the latest daily run
Report types in production
Cost to read. Always free.
Twelve lenses. One stock.
Each analysis type targets a different signal — from price action to SEC filings to competitive position. All generated fresh from live data, never from cached summaries.
Fundamental Analysis
Revenue, margins, balance sheet, and long-term earnings drivers.
Technical Analysis
Price action, MAs, RSI, MACD, volume, and chart pattern detection.
DCF Valuation
Intrinsic value modeling with multi-scenario sensitivity analysis.
10-K Digest
Annual report summaries — risks, strategy, and management commentary from SEC filings.
Catalyst Calendar
Upcoming earnings, product events, and macro catalysts with expected price impact.
Competitor Analysis
Competitive moat assessment, market share, and industry positioning.
Earnings Call Analysis
Management tone, forward guidance signals, and hidden sentiment from transcripts.
Institutional Ownership
13F filing analysis — track smart money moves and ownership concentration shifts.
Insider Trading
Form 4 filing review — who's buying and selling, and what the pattern signals.
Short Interest
Short float, days-to-cover, and short squeeze potential from borrow data.
Options Analysis
IV, Greeks, put/call skew, and strategy selection for the current market setup.
Dividend Analysis
Capital allocation: dividends, buybacks, M&A activity, and FCF deployment quality.
Daily. Automated. Built from source data.
No human editors touch these reports. Every analysis runs from live market data and public filings — assembled, interpreted, and published before markets open each day.
Live data assembled from market feeds and EDGAR
yfinance collects OHLCV, financials, and earnings data. SEC EDGAR scrapers pull the latest filings. Everything normalizes into a structured context package ready for the model.
yfinance + SEC EDGAR → data_fetch.py → context.py
A frontier model reads the numbers and writes the report
The context goes to the configured model — Gemini by default, with OpenAI and Claude as fallbacks — under a domain-specific prompt. The model runs the full analysis, draws Mermaid charts, and produces structured markdown; a nightly QA pass grades the output.
prompts/*.txt + context → llm.py → gemini | openai | claude
GitHub Actions publishes the whole run every morning
Cron-triggered GitHub Actions run one analysis job per ticker and report type. Reports land in the MkDocs site and publish to GitHub Pages within minutes of generation.
daily_analysis.yml → MkDocs → GitHub Pages
Today's reports
Generated this morning from live market data. Not cached. Not edited. These are the actual outputs from the pipeline.
Research that runs
while you sleep.
Dozens of analyses published automatically every morning. Zero subscription. Zero paywall. Just open it.